<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Relational_data_mining> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Coreference> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Data_mining> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Object\u2013relational_impedance_mismatch> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Freebase_(database)> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/XSLT> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Joseph_G._Davis> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/abstract>	"\u0412\u044B\u0434\u0435\u043B\u0435\u043D\u0438\u0435 \u0437\u043D\u0430\u043D\u0438\u0439 (\u0430\u043D\u0433\u043B. Knowledge extraction) \u2014 \u044D\u0442\u043E \u0441\u043E\u0437\u0434\u0430\u043D\u0438\u0435 \u0437\u043D\u0430\u043D\u0438\u0439 \u0438\u0437 \u0441\u0442\u0440\u0443\u043A\u0442\u0443\u0440\u0438\u0440\u043E\u0432\u0430\u043D\u043D\u044B\u0445 (\u0440\u0435\u043B\u044F\u0446\u0438\u043E\u043D\u043D\u044B\u0445 \u0431\u0430\u0437 \u0434\u0430\u043D\u043D\u044B\u0445, XML) \u0438 \u043D\u0435\u0441\u0442\u0440\u0443\u043A\u0442\u0443\u0440\u0438\u0440\u043E\u0432\u0430\u043D\u043D\u044B\u0445 \u0438\u0441\u0442\u043E\u0447\u043D\u0438\u043A\u043E\u0432 (\u0442\u0435\u043A\u0441\u0442\u044B, \u0434\u043E\u043A\u0443\u043C\u0435\u043D\u0442\u044B, \u0438\u0437\u043E\u0431\u0440\u0430\u0436\u0435\u043D\u0438\u044F). \u041F\u043E\u043B\u0443\u0447\u0435\u043D\u043D\u043E\u0435 \u0437\u043D\u0430\u043D\u0438\u0435 \u0434\u043E\u043B\u0436\u043D\u043E \u0438\u043C\u0435\u0442\u044C \u0444\u043E\u0440\u043C\u0430\u0442, \u043F\u043E\u0437\u0432\u043E\u043B\u044F\u044E\u0449\u0438\u0439 \u043A\u043E\u043C\u043F\u044C\u044E\u0442\u0435\u0440\u043D\u044B\u0439 \u0432\u0432\u043E\u0434, \u0438 \u0434\u043E\u043B\u0436\u043D\u043E \u043F\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043B\u044F\u0442\u044C \u0437\u043D\u0430\u043D\u0438\u044F \u0442\u0430\u043A, \u0447\u0442\u043E\u0431\u044B \u043E\u0431\u043B\u0435\u0433\u0447\u0438\u0442\u044C \u043B\u043E\u0433\u0438\u0447\u0435\u0441\u043A\u0438\u0435 \u0432\u044B\u0432\u043E\u0434\u044B. \u0425\u043E\u0442\u044F \u043F\u043E \u043C\u0435\u0442\u043E\u0434\u0438\u043A\u0435 \u043F\u0440\u043E\u0446\u0435\u0441\u0441 \u043F\u043E\u0434\u043E\u0431\u0435\u043D \u0438\u0437\u0432\u043B\u0435\u0447\u0435\u043D\u0438\u044E \u0438\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0438\u0438 (\u043E\u0431\u0440\u0430\u0431\u043E\u0442\u043A\u0435 \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043D\u043D\u043E\u0433\u043E \u044F\u0437\u044B\u043A\u0430, \u0430\u043D\u0433\u043B. Natural language processing, NLP) \u0438 \u043F\u0440\u043E\u0446\u0435\u0441\u0441\u0443 \u00AB\u0418\u0437\u0432\u043B\u0435\u0447\u0435\u043D\u0438\u044F, \u041F\u0440\u0435\u043E\u0431\u0440\u0430\u0437\u043E\u0432\u0430\u043D\u0438\u044F, \u0417\u0430\u0433\u0440\u0443\u0437\u043A\u0438\u00BB (\u0430\u043D\u0433\u043B. Extract, Transform, Load, ETL, \u0434\u043B\u044F \u0445\u0440\u0430\u043D\u0438\u043B\u0438\u0449 \u0434\u0430\u043D\u043D\u044B\u0445), \u0433\u043B\u0430\u0432\u043D\u044B\u0439 \u043A\u0440\u0438\u0442\u0435\u0440\u0438\u0439 \u0440\u0435\u0437\u0443\u043B\u044C\u0442\u0430\u0442\u0430 \u2014 \u0441\u043E\u0437\u0434\u0430\u043D\u0438\u0435 \u0441\u0442\u0440\u0443\u043A\u0442\u0443\u0440\u0438\u0440\u043E\u0432\u0430\u043D\u043D\u043E\u0439 \u0438\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0438\u0438 \u0438\u043B\u0438 \u043F\u0440\u0435\u043E\u0431\u0440\u0430\u0437\u043E\u0432\u0430\u043D\u0438\u0435 \u0432 \u0440\u0435\u043B\u044F\u0446\u0438\u043E\u043D\u043D\u0443\u044E \u0441\u0445\u0435\u043C\u0443. \u042D\u0442\u043E \u0442\u0440\u0435\u0431\u0443\u0435\u0442 \u043B\u0438\u0431\u043E \u043F\u0440\u0435\u043E\u0431\u0440\u0430\u0437\u043E\u0432\u0430\u043D\u0438\u044F \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u044E\u0449\u0435\u0433\u043E \u0444\u043E\u0440\u043C\u0430\u043B\u044C\u043D\u043E\u0433\u043E \u0437\u043D\u0430\u043D\u0438\u044F (\u043F\u043E\u0432\u0442\u043E\u0440\u043D\u043E\u0433\u043E \u0438\u0441\u043F\u043E\u043B\u044C\u0437\u043E\u0432\u0430\u043D\u0438\u044F \u0438\u0434\u0435\u043D\u0442\u0438\u0444\u0438\u043A\u0430\u0442\u043E\u0440\u043E\u0432 \u0438\u043B\u0438 \u043E\u043D\u0442\u043E\u043B\u043E\u0433\u0438\u0439), \u043B\u0438\u0431\u043E \u0433\u0435\u043D\u0435\u0440\u0430\u0446\u0438\u0435\u0439 \u0441\u0445\u0435\u043C\u044B, \u043E\u0441\u043D\u043E\u0432\u0430\u043D\u043D\u043E\u0439 \u043D\u0430 \u0438\u0441\u0445\u043E\u0434\u043D\u044B\u0445 \u0434\u0430\u043D\u043D\u044B\u0445. \u0413\u0440\u0443\u043F\u043F\u0430 RDB2RDF W3C \u0437\u0430\u043D\u0438\u043C\u0430\u0435\u0442\u0441\u044F \u0441\u0442\u0430\u043D\u0434\u0430\u0440\u0442\u0438\u0437\u0430\u0446\u0438\u0435\u0439 \u044F\u0437\u044B\u043A\u0430 \u0434\u043B\u044F \u0438\u0437\u0432\u043B\u0435\u0447\u0435\u043D\u0438\u044F \u0441\u0440\u0435\u0434\u044B \u043E\u043F\u0438\u0441\u0430\u043D\u0438\u044F \u0440\u0435\u0441\u0443\u0440\u0441\u0430 (\u0430\u043D\u0433\u043B. resource description frameworks, RDF) \u0438\u0437 \u0440\u0435\u043B\u044F\u0446\u0438\u043E\u043D\u043D\u043E\u0439 \u0431\u0430\u0437\u044B \u0434\u0430\u043D\u043D\u044B\u0445. \u0414\u0440\u0443\u0433\u043E\u0439 \u043F\u043E\u043F\u0443\u043B\u044F\u0440\u043D\u044B\u0439 \u043F\u0440\u0438\u043C\u0435\u0440 \u0438\u0437\u0432\u043B\u0435\u0447\u0435\u043D\u0438\u044F \u0437\u043D\u0430\u043D\u0438\u0439 \u2014 \u043F\u0440\u0435\u043E\u0431\u0440\u0430\u0437\u043E\u0432\u0430\u043D\u0438\u0435 \u0412\u0438\u043A\u0438\u043F\u0435\u0434\u0438\u0438 \u0432 \u0441\u0442\u0440\u0443\u043A\u0442\u0443\u0440\u0438\u0440\u043E\u0432\u0430\u043D\u043D\u044B\u0435 \u0434\u0430\u043D\u043D\u044B\u0435 \u0438 \u043E\u0442\u043E\u0431\u0440\u0430\u0436\u0435\u043D\u0438\u0435 \u0432 \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u044E\u0449\u0435\u0435 \u0437\u043D\u0430\u043D\u0438\u0435 (\u0441\u043C. DBpedia \u0438 Freebase)."@ru .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageLength>	"53767"^^<http://www.w3.org/2001/XMLSchema#nonNegativeInteger> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Industrial_big_data> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2000/01/rdf-schema#comment>	"Knowledge extraction is the creation of knowledge from structured (relational databases, XML) and unstructured (text, documents, images) sources. The resulting knowledge needs to be in a machine-readable and machine-interpretable format and must represent knowledge in a manner that facilitates inferencing. Although it is methodically similar to information extraction (NLP) and ETL (data warehouse), the main criteria is that the extraction result goes beyond the creation of structured information or the transformation into a relational schema. It requires either the reuse of existing formal knowledge (reusing identifiers or ontologies) or the generation of a schema based on the source data."@en .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2000/01/rdf-schema#comment>	"\u0412\u044B\u0434\u0435\u043B\u0435\u043D\u0438\u0435 \u0437\u043D\u0430\u043D\u0438\u0439 (\u0430\u043D\u0433\u043B. Knowledge extraction) \u2014 \u044D\u0442\u043E \u0441\u043E\u0437\u0434\u0430\u043D\u0438\u0435 \u0437\u043D\u0430\u043D\u0438\u0439 \u0438\u0437 \u0441\u0442\u0440\u0443\u043A\u0442\u0443\u0440\u0438\u0440\u043E\u0432\u0430\u043D\u043D\u044B\u0445 (\u0440\u0435\u043B\u044F\u0446\u0438\u043E\u043D\u043D\u044B\u0445 \u0431\u0430\u0437 \u0434\u0430\u043D\u043D\u044B\u0445, XML) \u0438 \u043D\u0435\u0441\u0442\u0440\u0443\u043A\u0442\u0443\u0440\u0438\u0440\u043E\u0432\u0430\u043D\u043D\u044B\u0445 \u0438\u0441\u0442\u043E\u0447\u043D\u0438\u043A\u043E\u0432 (\u0442\u0435\u043A\u0441\u0442\u044B, \u0434\u043E\u043A\u0443\u043C\u0435\u043D\u0442\u044B, \u0438\u0437\u043E\u0431\u0440\u0430\u0436\u0435\u043D\u0438\u044F). \u041F\u043E\u043B\u0443\u0447\u0435\u043D\u043D\u043E\u0435 \u0437\u043D\u0430\u043D\u0438\u0435 \u0434\u043E\u043B\u0436\u043D\u043E \u0438\u043C\u0435\u0442\u044C \u0444\u043E\u0440\u043C\u0430\u0442, \u043F\u043E\u0437\u0432\u043E\u043B\u044F\u044E\u0449\u0438\u0439 \u043A\u043E\u043C\u043F\u044C\u044E\u0442\u0435\u0440\u043D\u044B\u0439 \u0432\u0432\u043E\u0434, \u0438 \u0434\u043E\u043B\u0436\u043D\u043E \u043F\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043B\u044F\u0442\u044C \u0437\u043D\u0430\u043D\u0438\u044F \u0442\u0430\u043A, \u0447\u0442\u043E\u0431\u044B \u043E\u0431\u043B\u0435\u0433\u0447\u0438\u0442\u044C \u043B\u043E\u0433\u0438\u0447\u0435\u0441\u043A\u0438\u0435 \u0432\u044B\u0432\u043E\u0434\u044B. \u0425\u043E\u0442\u044F \u043F\u043E \u043C\u0435\u0442\u043E\u0434\u0438\u043A\u0435 \u043F\u0440\u043E\u0446\u0435\u0441\u0441 \u043F\u043E\u0434\u043E\u0431\u0435\u043D \u0438\u0437\u0432\u043B\u0435\u0447\u0435\u043D\u0438\u044E \u0438\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0438\u0438 (\u043E\u0431\u0440\u0430\u0431\u043E\u0442\u043A\u0435 \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043D\u043D\u043E\u0433\u043E \u044F\u0437\u044B\u043A\u0430, \u0430\u043D\u0433\u043B. Natural language processing, NLP) \u0438 \u043F\u0440\u043E\u0446\u0435\u0441\u0441\u0443 \u00AB\u0418\u0437\u0432\u043B\u0435\u0447\u0435\u043D\u0438\u044F, \u041F\u0440\u0435\u043E\u0431\u0440\u0430\u0437\u043E\u0432\u0430\u043D\u0438\u044F, \u0417\u0430\u0433\u0440\u0443\u0437\u043A\u0438\u00BB (\u0430\u043D\u0433\u043B. Extract, Transform, Load, ETL, \u0434\u043B\u044F \u0445\u0440\u0430\u043D\u0438\u043B\u0438\u0449 \u0434\u0430\u043D\u043D\u044B\u0445), \u0433\u043B\u0430\u0432\u043D\u044B\u0439 \u043A\u0440\u0438\u0442\u0435\u0440\u0438\u0439 \u0440\u0435\u0437\u0443\u043B\u044C\u0442\u0430\u0442\u0430 \u2014 \u0441\u043E\u0437\u0434\u0430\u043D\u0438\u0435 \u0441\u0442\u0440\u0443\u043A\u0442\u0443\u0440\u0438\u0440\u043E\u0432\u0430\u043D\u043D\u043E\u0439 \u0438\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0438\u0438 \u0438\u043B\u0438 \u043F\u0440\u0435\u043E\u0431\u0440\u0430\u0437\u043E\u0432\u0430\u043D\u0438\u0435 \u0432 \u0440\u0435\u043B\u044F\u0446\u0438\u043E\u043D\u043D\u0443\u044E \u0441\u0445\u0435\u043C\u0443. \u042D\u0442\u043E \u0442\u0440\u0435\u0431\u0443\u0435\u0442 \u043B\u0438\u0431\u043E \u043F\u0440\u0435\u043E\u0431\u0440\u0430\u0437\u043E\u0432\u0430\u043D\u0438\u044F \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u044E\u0449\u0435\u0433\u043E \u0444\u043E\u0440\u043C\u0430\u043B\u044C\u043D\u043E\u0433\u043E \u0437\u043D\u0430\u043D\u0438\u044F (\u043F\u043E\u0432\u0442\u043E\u0440\u043D\u043E\u0433\u043E \u0438\u0441\u043F\u043E\u043B\u044C\u0437\u043E\u0432\u0430\u043D\u0438\u044F \u0438\u0434\u0435\u043D\u0442\u0438\u0444\u0438\u043A\u0430\u0442\u043E\u0440\u043E\u0432 \u0438\u043B\u0438 \u043E\u043D\u0442\u043E\u043B\u043E\u0433\u0438\u0439), \u043B\u0438\u0431\u043E \u0433\u0435"@ru .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/property/bot>	"InternetArchiveBot"@en .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://xmlns.com/foaf/spec/%23term_homepage> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Business_rule> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://dbpedia.org/resource/United_States_Congress> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Business_value> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://www.rocketsoftware.com> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Build_automation> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://xmlns.com/foaf/spec/%23term_Person> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Business_Process_Model_and_Notation> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Data_archaeology> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Linguistic_Linked_Open_Data> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://dbpedia.org/class/yago/PresidentsOfTheUnitedStates> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/property/wikiPageUsesTemplate>	<http://dbpedia.org/resource/Template:CNone> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Linked_data> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Configuration_file> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/XML> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://wwwusers.di.uniroma1.it/~navigli/pubs/IJCAI_2011_Navigli_Velardi_Faralli.pdf> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Relational_database> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Resource_Description_Framework> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Database_schema> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<https://dandelion.eu/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Document_warehouse> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Natural_language_processing> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Data_stream_mining> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://poolparty.biz/demozone/%3Furl=http%3A%2F%2Fen.wikipedia.org%2Fw%2Findex.php%3Ftitle%3DKnowledge_extraction%26printable%3Dyes&domain=ssw> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2002/07/owl#sameAs>	<https://global.dbpedia.org/id/aEDB> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Data_warehouse> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://rhizomik.net/html/redefer/xml2rdf/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2002/07/owl#sameAs>	<http://uk.dbpedia.org/resource/\u0412\u0438\u0434\u043E\u0431\u0443\u0442\u043E\u043A_\u0437\u043D\u0430\u043D\u044C> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Software_mining> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://ontogen.ijs.si> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2002/07/owl#sameAs>	<http://sk.dbpedia.org/resource/Objavovanie_znalost\u00ED_v_datab\u00E1zach> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Entity\u2013relationship_model> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://triplify.org> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://entityclassifier.eu> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Domain_driven_data_mining> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Shojiro_Nishio> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://idocument.opendfki.de> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Semantic_Scholar> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://sourceforge.net/projects/relational-owl/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Semantic_knowledge_extraction> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<https://code.google.com/p/text2onto/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Rules_extraction_system_family> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<https://dandelion.eu/products/datatxt/nex/demo/%3Fexec=true%23results> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Scientific_workflow_system> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2002/07/owl#sameAs>	<http://ar.dbpedia.org/resource/\u0627\u0633\u062A\u062E\u0631\u0627\u062C_\u0627\u0644\u0645\u0639\u0631\u0641\u0629> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Metadata> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Source_code> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Tutte_Institute_for_Mathematics_and_Computing> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://sourceforge.net/projects/rdote/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2002/07/owl#sameAs>	<http://ru.dbpedia.org/resource/\u0412\u044B\u0434\u0435\u043B\u0435\u043D\u0438\u0435_\u0437\u043D\u0430\u043D\u0438\u0439> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Vladimir_Gorodetski> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://www.cs.toronto.edu/semanticweb/maponto/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://www2003.org/cdrom/papers/refereed/p831/p831-dill.html> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Translational_bioinformatics> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://www.semantic-web.at/de/poolparty-extractor> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Terminology_extraction> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://wit.istc.cnr.it/stlab-tools/fred/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://www.opencalais.com/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://www.rosoka.com/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://www.insiders-technologies.de/produkte/smart-produkte/smart-fix/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/property/wikiPageUsesTemplate>	<http://dbpedia.org/resource/Template:Dead_link> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageID>	"31002435"^^<http://www.w3.org/2001/XMLSchema#integer> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://www.netowl.com/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://xlwrap.sourceforge.net/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<https://capsenta.com/%23section-ultrawrap> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Anaphora_(linguistics)> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2002/07/owl#sameAs>	<http://dbpedia.org/resource/Knowledge_extraction#this> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://www.thatneedle.com/nlp-api.html> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/abstract>	"Knowledge extraction is the creation of knowledge from structured (relational databases, XML) and unstructured (text, documents, images) sources. The resulting knowledge needs to be in a machine-readable and machine-interpretable format and must represent knowledge in a manner that facilitates inferencing. Although it is methodically similar to information extraction (NLP) and ETL (data warehouse), the main criteria is that the extraction result goes beyond the creation of structured information or the transformation into a relational schema. It requires either the reuse of existing formal knowledge (reusing identifiers or ontologies) or the generation of a schema based on the source data. The RDB2RDF W3C group  is currently standardizing a language for extraction of resource description frameworks (RDF) from relational databases. Another popular example for knowledge extraction is the transformation of Wikipedia into structured data and also the mapping to existing knowledge (see DBpedia and Freebase)."@en .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://wwwusers.di.uniroma1.it/~velardi/CL.pdf> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2000/01/rdf-schema#label>	"Extra\u00E7\u00E3o de conhecimento"@pt .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://rhizomik.net/html/redefer/%23XML2RDF> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://spotlight.dbpedia.org/rest/annotate%3Ftext=President%20Obama%20called%20Wednesday%20on%20Congress%20to%20extend%20a%20tax%20break%20for%20students%20included%20in%20last%20year%27s%20economic%20stimulus%20package,%20arguing%20that%20the%20policy%20provides%20more%20generous%20assistance.&confidence=0.2&support=20> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/property/wikiPageUsesTemplate>	<http://dbpedia.org/resource/Template:Computable_knowledge> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://en.wikipedia.org/wiki/Knowledge_extraction> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://poolparty.biz/products/poolparty-extractor/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://protegewiki.stanford.edu/wiki/DataMaster> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://www-ai.ijs.si/~ilpnet2/systems/asium.html> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/abstract>	"Knowledge Discovery in Databases (KDD), auf Deutsch Wissensentdeckung in Datenbanken, erg\u00E4nzt das oft synonym gebrauchte Data-Mining um vorbereitende Untersuchungen und . Ziel des KDD ist die Erkennung bislang unbekannter fachlicher Zusammenh\u00E4nge aus vorhandenen, meist gro\u00DFen Datenbest\u00E4nden. In Abgrenzung zum Data-Mining umfasst KDD als Gesamtprozess auch die Vorbereitung der Daten sowie die Bewertung der Resultate. Der Begriff KDD wurde in wissenschaftlichen Kreisen von  gepr\u00E4gt, w\u00E4hrend in der Praxis der Begriff Data-Mining gel\u00E4ufiger ist, der in der Statistik jedoch traditionell negativ besetzt ist. Die Teilschritte des KDD-Prozesses sind: 1.  \n* Bereitstellung von Hintergrundwissen f\u00FCr den jeweiligen Fachbereich 2.  \n* Definition der Ziele der Wissensfindung 3.  \n* Datenauswahl 4.  \n* Datenbereinigung 5.  \n* Datenreduktion (z. B. durch Transformationen) 6.  \n* Auswahl eines Modells, in dem das gefundene Wissen repr\u00E4sentiert werden soll 7.  \n* Data-Mining, die eigentliche Datenanalyse 8.  \n* Interpretation der gewonnenen Erkenntnisse \u00DCblicherweise werden diese Schritte mehrfach durchlaufen. Ein verbreitetes Vorgehensmodell ist der Cross-Industry Standard Process for Data-Mining (CRISP-DM)."@de .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://www.extractiv.com/demo.html> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://texttoonto.sourceforge.net/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://turing.cs.washington.edu/papers/iswc2006McDowell-final.pdf> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://dandelion.eu/datatxt/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://dbpedia.org/resource/Barack_Obama> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Group_method_of_data_handling> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Knowledge_Engineering_and_Machine_Learning_Group> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/property/wikiPageUsesTemplate>	<http://dbpedia.org/resource/Template:Semantic_Web> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Hitlab_Music_Company> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://logd.tw.rpi.edu/technology/csv2rdf4lod> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://metamorphoses.sourceforge.net/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Granular_computing> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://gate.ac.uk/sale/tao/splitch6.html%23chap:annie> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://ieg.ifs.tuwien.ac.at/projects/ontox> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Fintan> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2000/01/rdf-schema#label>	"\uC9C0\uC2DD \uCD94\uCD9C"@ko .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Evolutionary_data_mining> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/property/wikiPageUsesTemplate>	<http://dbpedia.org/resource/Template:N/A> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Explainable_artificial_intelligence> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Information_extraction> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Knowledge_Discovery_Metamodel> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Unstructured_data> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Knowledge_discovery> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Abstraction> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Intracortical_encephalogram_signal_analysis> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/DBpedia> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2000/01/rdf-schema#comment>	"\u0412\u0438\u0434\u043E\u0431\u0443\u0442\u043E\u043A \u0437\u043D\u0430\u043D\u044C \u0454 \u0441\u0442\u0432\u043E\u0440\u0435\u043D\u043D\u044F \u0437\u043D\u0430\u043D\u044C \u0437\u0456 \u0441\u0442\u0440\u0443\u043A\u0442\u0443\u0440\u043E\u0432\u0430\u043D\u0438\u0445 (\u0440\u0435\u043B\u044F\u0446\u0456\u0439\u043D\u0438\u0445 \u0431\u0430\u0437 \u0434\u0430\u043D\u0438\u0445, XML) \u0456 \u043D\u0435\u0441\u0442\u0440\u0443\u043A\u0442\u0443\u0440\u043E\u0432\u0430\u043D\u0438\u0445 (\u0442\u0435\u043A\u0441\u0442\u0438, \u0434\u043E\u043A\u0443\u043C\u0435\u043D\u0442\u0438, \u0437\u043E\u0431\u0440\u0430\u0436\u0435\u043D\u043D\u044F) \u0434\u0436\u0435\u0440\u0435\u043B. \u041E\u0442\u0440\u0438\u043C\u0430\u043D\u0435 \u0437\u043D\u0430\u043D\u043D\u044F \u043F\u043E\u0432\u0438\u043D\u043D\u043E \u0431\u0443\u0442\u0438 \u0437\u0431\u0435\u0440\u0435\u0436\u0435\u043D\u0435 \u0443 \u0444\u043E\u0440\u043C\u0430\u0442\u0456 \u043F\u0440\u0438\u0434\u0430\u0442\u043D\u043E\u043C\u0443 \u0434\u043B\u044F \u0430\u0432\u0442\u043E\u043C\u0430\u0442\u0438\u0447\u043D\u043E\u0433\u043E \u0447\u0438\u0442\u0430\u043D\u043D\u044F \u0442\u0430 \u0456\u043D\u0442\u0435\u0440\u043F\u0440\u0435\u0442\u0430\u0446\u0456\u0457, \u0442\u0430\u043A\u043E\u0436 \u0437\u043D\u0430\u043D\u043D\u044F \u043F\u043E\u0432\u0438\u043D\u043D\u0456 \u0431\u0443\u0442\u0438 \u043F\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043B\u0435\u043D\u0456 \u0442\u0430\u043A\u0438\u043C \u0447\u0438\u043D\u043E\u043C, \u0449\u043E\u0431 \u043F\u043E\u043B\u0435\u0433\u0448\u0438\u0442\u0438 \u043B\u043E\u0433\u0456\u0447\u043D\u0438\u0439 \u0432\u0438\u0441\u043D\u043E\u0432\u043E\u043A. \u041F\u043E\u043F\u0440\u0438 \u0442\u0435, \u0449\u043E \u0446\u0435 \u043C\u0435\u0442\u043E\u0434\u0438\u0447\u043D\u043E \u0441\u0445\u043E\u0436\u0435 \u043D\u0430 \u0432\u0438\u0434\u043E\u0431\u0443\u0442\u043E\u043A \u0456\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0456\u0457 (NLP) \u0456 ETL (\u0437\u0431\u0435\u0440\u0456\u0433\u0430\u043D\u043D\u044F \u0434\u0430\u043D\u0438\u0445), \u043E\u0441\u043D\u043E\u0432\u043D\u0438\u043C\u0438 \u043A\u0440\u0438\u0442\u0435\u0440\u0456\u044F\u043C\u0438 \u0454 \u0442\u0435, \u0449\u043E \u0440\u0435\u0437\u0443\u043B\u044C\u0442\u0430\u0442 \u0432\u0438\u0434\u043E\u0431\u0443\u0442\u043A\u0443 \u0432\u0438\u0445\u043E\u0434\u0438\u0442\u044C \u0437\u0430 \u0440\u0430\u043C\u043A\u0438 \u0441\u0442\u0432\u043E\u0440\u0435\u043D\u043D\u044F \u0441\u0442\u0440\u0443\u043A\u0442\u0443\u0440\u043E\u0432\u0430\u043D\u043E\u0457 \u0456\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0456\u0457 \u0430\u0431\u043E \u043F\u0435\u0440\u0435\u0442\u0432\u043E\u0440\u0435\u043D\u043D\u044F \u0457\u0457 \u0432 \u0440\u0435\u043B\u044F\u0446\u0456\u0439\u043D\u0443 \u0441\u0445\u0435\u043C\u0443. \u0426\u0435 \u0432\u0438\u043C\u0430\u0433\u0430\u0454 \u0430\u0431\u043E \u043F\u043E\u0432\u0442\u043E\u0440\u043D\u043E\u0433\u043E \u0432\u0438\u043A\u043E\u0440\u0438\u0441\u0442\u0430\u043D\u043D\u044F \u043D\u0430\u044F\u0432\u043D\u0438\u0445 \u0444\u043E\u0440\u043C\u0430\u043B\u044C\u043D\u0438\u0445 \u0437\u043D\u0430\u043D\u044C (\u043F\u043E\u0432\u0442\u043E\u0440\u043D\u0435 \u0432\u0438\u043A\u043E\u0440\u0438\u0441\u0442\u0430\u043D\u043D\u044F \u0456\u0434\u0435\u043D\u0442\u0438\u0444\u0456\u043A\u0430\u0442\u043E\u0440\u0456\u0432 \u0430\u0431\u043E \u043E\u043D\u0442\u043E\u043B\u043E\u0433\u0456\u0439) \u0430\u0431\u043E \u0433\u0435\u043D\u0435\u0440\u0430\u0446\u0456\u044E \u0441\u0445\u0435\u043C\u0438 \u043D\u0430 \u043E\u0441\u043D\u043E\u0432\u0456 \u0432\u0438\u0445\u0456\u0434\u043D\u0438\u0445 \u0434\u0430\u043D\u0438\u0445."@uk .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Jain_Pei> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Information_discovery> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Machine_learning> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Ontology_learning> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Tim_Berners-Lee> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Hui_Xiong> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Ontology_alignment> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/IDEF5> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Machine_learning_in_bioinformatics> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Semantic_parsing> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Chris_Wallace_(computer_scientist)> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/List_of_tools_for_knowledge_extraction> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Machine-readable_data> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2000/01/rdf-schema#label>	"\u0412\u044B\u0434\u0435\u043B\u0435\u043D\u0438\u0435 \u0437\u043D\u0430\u043D\u0438\u0439"@ru .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Literature-based_discovery> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Link_analysis> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/List_of_knowledge_extraction_tools> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Learning_classifier_system> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Creative_computing> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Record_linkage> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Ontology-based_information_extraction> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Nanoinformatics> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/NetOwl> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Mycin> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2000/01/rdf-schema#label>	"Knowledge Discovery in Databases"@de .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Knowledge_extraction> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Artificial_intelligence_in_industry> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Big_Data_to_Knowledge> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/1999/02/22-rdf-syntax-ns#type>	<http://www.w3.org/2002/07/owl#Thing> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/abstract>	"Extra\u00E7\u00E3o de conhecimento (tamb\u00E9m conhecido como processo KDD, do ingl\u00EAs knowledge-discovery in databases) \u00E9 um processo de extra\u00E7\u00E3o de informa\u00E7\u00F5es de base de dados, que cria rela\u00E7\u00F5es de interesse que n\u00E3o s\u00E3o observadas pelo especialista no assunto, bem como auxilia a valida\u00E7\u00E3o de conhecimento extra\u00EDdo. O crescimento r\u00E1pido do volume das bases de dados em tamanho e dimensionalidade criou a necessidade e a oportunidade para extrair conhecimento destas. Neste contexto, surge no final da d\u00E9cada de 1980, um novo ramo da computa\u00E7\u00E3o, a extra\u00E7\u00E3o de conhecimento, com o objetivo principal de encontrar uma maneira automatizada de explorar essas bases de dados e reconhecer os padr\u00F5es existentes atrav\u00E9s da modelagem de fen\u00F4menos do mundo real. A extra\u00E7\u00E3o de conhecimento refere-se \u00E0s etapas que produzem conhecimentos a partir de dados relacionados, e sua principal caracter\u00EDstica \u00E9 a extra\u00E7\u00E3o n\u00E3o-trivial de informa\u00E7\u00F5es implicitamente contidas em uma base de dados. Essas informa\u00E7\u00F5es s\u00E3o de dif\u00EDcil detec\u00E7\u00E3o por m\u00E9todos tradicionais de an\u00E1lise e devem ser potencialmente \u00FAteis para tomada de decis\u00E3o. Enquanto os m\u00E9todos tradicionais s\u00E3o capazes de tratar apenas as informa\u00E7\u00F5es expl\u00EDcitas, a extra\u00E7\u00E3o de conhecimento \u00E9 capaz de detectar informa\u00E7\u00F5es impl\u00EDcitas armazenadas nos bancos de dados. O processo \u00E9 iterativo e, embora apresente uma defini\u00E7\u00E3o semelhante tamb\u00E9m ao minera\u00E7\u00E3o de dados, deve ser composto de uma s\u00E9rie de etapas seq\u00FCenciais, podendo haver retorno a etapas anteriores, isto \u00E9, as descobertas realizadas (ou a falta delas). Eventualmente, este processo conduz a novas hip\u00F3teses e descobertas. Neste caso, o usu\u00E1rio pode decidir pela retomada dos processos de minera\u00E7\u00E3o, ou uma nova sele\u00E7\u00E3o de atributos, por exemplo, para validar as hip\u00F3teses que surgiram ao longo do processo. O produto esperado da extra\u00E7\u00E3o de conhecimento \u00E9 uma informa\u00E7\u00E3o relevante para ser utilizada pelos tomadores de decis\u00E3o. Alguns autores, por\u00E9m, defendem o ponto de vista de que o conhecimento descoberto n\u00E3o precisa necessariamente ser incorporado a um sistema de apoio \u00E0 decis\u00E3o (SAD). O campo de estudo \u00E9 de interesse comum a diversas \u00E1reas, e as primeiras contribui\u00E7\u00F5es cient\u00EDficas e t\u00E9cnicas foram apresentadas por pesquisadores de \u00E1reas como: aprendizado de m\u00E1quinas; banco de dados inteligente; computa\u00E7\u00E3o de alto desempenho; estat\u00EDstica; intelig\u00EAncia artificial; visualiza\u00E7\u00E3o de dados; reconhecimento de padr\u00F5es e sistemas especialistas. Foram desenvolvidas aplica\u00E7\u00F5es tamb\u00E9m para astronomia, biologia, seguros, marketing, medicina, entre outros."@pt .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Alexey_Ivakhnenko> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2007/05/powder-s#describedby>	<http://demo.openlinksw.com/about/id/entity/http/dbpedia.org/resource/Information_extraction> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Data_archaeology> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Data_pre-processing> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Data_analysis_techniques_for_fraud_detection> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2000/01/rdf-schema#comment>	"Extra\u00E7\u00E3o de conhecimento (tamb\u00E9m conhecido como processo KDD, do ingl\u00EAs knowledge-discovery in databases) \u00E9 um processo de extra\u00E7\u00E3o de informa\u00E7\u00F5es de base de dados, que cria rela\u00E7\u00F5es de interesse que n\u00E3o s\u00E3o observadas pelo especialista no assunto, bem como auxilia a valida\u00E7\u00E3o de conhecimento extra\u00EDdo. O produto esperado da extra\u00E7\u00E3o de conhecimento \u00E9 uma informa\u00E7\u00E3o relevante para ser utilizada pelos tomadores de decis\u00E3o. Alguns autores, por\u00E9m, defendem o ponto de vista de que o conhecimento descoberto n\u00E3o precisa necessariamente ser incorporado a um sistema de apoio \u00E0 decis\u00E3o (SAD)."@pt .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/ECML_PKDD> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/abstract>	"Dob\u00FDv\u00E1n\u00ED znalost\u00ED z datab\u00E1z\u00ED (KDD, Knowledge Discovery in Databases). Tento pojem definovat Usama Fayyad jako proces netrivi\u00E1ln\u00EDho objevov\u00E1n\u00ED implicitn\u00EDch, dop\u0159edu nezn\u00E1m\u00FDch a potenci\u00E1ln\u011B pou\u017Eiteln\u00FDch znalost\u00ED v datech. Podle t\u00E9to definice se n\u011Bkte\u0159\u00ED jedinci mohou myln\u011B domn\u00EDvat, \u017Ee KDD je synonymum pro Data mining ov\u0161em nen\u00ED tomu tak. Data mining je pouze jedn\u00EDm krokem z celkov\u00E9ho procesu dob\u00FDv\u00E1n\u00ED znalost\u00ED z datab\u00E1z\u00ED."@cs .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Tag_(metadata)> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Dominance-based_rough_set_approach> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Cluster_analysis> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/property/fixAttempted>	"yes"@en .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Named_entity> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Data_stream_mining> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2007/05/powder-s#describedby>	<http://demo.openlinksw.com/about/id/entity/http/dbpedia.org/resource/DBpedia> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/abstract>	"\u0412\u0438\u0434\u043E\u0431\u0443\u0442\u043E\u043A \u0437\u043D\u0430\u043D\u044C \u0454 \u0441\u0442\u0432\u043E\u0440\u0435\u043D\u043D\u044F \u0437\u043D\u0430\u043D\u044C \u0437\u0456 \u0441\u0442\u0440\u0443\u043A\u0442\u0443\u0440\u043E\u0432\u0430\u043D\u0438\u0445 (\u0440\u0435\u043B\u044F\u0446\u0456\u0439\u043D\u0438\u0445 \u0431\u0430\u0437 \u0434\u0430\u043D\u0438\u0445, XML) \u0456 \u043D\u0435\u0441\u0442\u0440\u0443\u043A\u0442\u0443\u0440\u043E\u0432\u0430\u043D\u0438\u0445 (\u0442\u0435\u043A\u0441\u0442\u0438, \u0434\u043E\u043A\u0443\u043C\u0435\u043D\u0442\u0438, \u0437\u043E\u0431\u0440\u0430\u0436\u0435\u043D\u043D\u044F) \u0434\u0436\u0435\u0440\u0435\u043B. \u041E\u0442\u0440\u0438\u043C\u0430\u043D\u0435 \u0437\u043D\u0430\u043D\u043D\u044F \u043F\u043E\u0432\u0438\u043D\u043D\u043E \u0431\u0443\u0442\u0438 \u0437\u0431\u0435\u0440\u0435\u0436\u0435\u043D\u0435 \u0443 \u0444\u043E\u0440\u043C\u0430\u0442\u0456 \u043F\u0440\u0438\u0434\u0430\u0442\u043D\u043E\u043C\u0443 \u0434\u043B\u044F \u0430\u0432\u0442\u043E\u043C\u0430\u0442\u0438\u0447\u043D\u043E\u0433\u043E \u0447\u0438\u0442\u0430\u043D\u043D\u044F \u0442\u0430 \u0456\u043D\u0442\u0435\u0440\u043F\u0440\u0435\u0442\u0430\u0446\u0456\u0457, \u0442\u0430\u043A\u043E\u0436 \u0437\u043D\u0430\u043D\u043D\u044F \u043F\u043E\u0432\u0438\u043D\u043D\u0456 \u0431\u0443\u0442\u0438 \u043F\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043B\u0435\u043D\u0456 \u0442\u0430\u043A\u0438\u043C \u0447\u0438\u043D\u043E\u043C, \u0449\u043E\u0431 \u043F\u043E\u043B\u0435\u0433\u0448\u0438\u0442\u0438 \u043B\u043E\u0433\u0456\u0447\u043D\u0438\u0439 \u0432\u0438\u0441\u043D\u043E\u0432\u043E\u043A. \u041F\u043E\u043F\u0440\u0438 \u0442\u0435, \u0449\u043E \u0446\u0435 \u043C\u0435\u0442\u043E\u0434\u0438\u0447\u043D\u043E \u0441\u0445\u043E\u0436\u0435 \u043D\u0430 \u0432\u0438\u0434\u043E\u0431\u0443\u0442\u043E\u043A \u0456\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0456\u0457 (NLP) \u0456 ETL (\u0437\u0431\u0435\u0440\u0456\u0433\u0430\u043D\u043D\u044F \u0434\u0430\u043D\u0438\u0445), \u043E\u0441\u043D\u043E\u0432\u043D\u0438\u043C\u0438 \u043A\u0440\u0438\u0442\u0435\u0440\u0456\u044F\u043C\u0438 \u0454 \u0442\u0435, \u0449\u043E \u0440\u0435\u0437\u0443\u043B\u044C\u0442\u0430\u0442 \u0432\u0438\u0434\u043E\u0431\u0443\u0442\u043A\u0443 \u0432\u0438\u0445\u043E\u0434\u0438\u0442\u044C \u0437\u0430 \u0440\u0430\u043C\u043A\u0438 \u0441\u0442\u0432\u043E\u0440\u0435\u043D\u043D\u044F \u0441\u0442\u0440\u0443\u043A\u0442\u0443\u0440\u043E\u0432\u0430\u043D\u043E\u0457 \u0456\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0456\u0457 \u0430\u0431\u043E \u043F\u0435\u0440\u0435\u0442\u0432\u043E\u0440\u0435\u043D\u043D\u044F \u0457\u0457 \u0432 \u0440\u0435\u043B\u044F\u0446\u0456\u0439\u043D\u0443 \u0441\u0445\u0435\u043C\u0443. \u0426\u0435 \u0432\u0438\u043C\u0430\u0433\u0430\u0454 \u0430\u0431\u043E \u043F\u043E\u0432\u0442\u043E\u0440\u043D\u043E\u0433\u043E \u0432\u0438\u043A\u043E\u0440\u0438\u0441\u0442\u0430\u043D\u043D\u044F \u043D\u0430\u044F\u0432\u043D\u0438\u0445 \u0444\u043E\u0440\u043C\u0430\u043B\u044C\u043D\u0438\u0445 \u0437\u043D\u0430\u043D\u044C (\u043F\u043E\u0432\u0442\u043E\u0440\u043D\u0435 \u0432\u0438\u043A\u043E\u0440\u0438\u0441\u0442\u0430\u043D\u043D\u044F \u0456\u0434\u0435\u043D\u0442\u0438\u0444\u0456\u043A\u0430\u0442\u043E\u0440\u0456\u0432 \u0430\u0431\u043E \u043E\u043D\u0442\u043E\u043B\u043E\u0433\u0456\u0439) \u0430\u0431\u043E \u0433\u0435\u043D\u0435\u0440\u0430\u0446\u0456\u044E \u0441\u0445\u0435\u043C\u0438 \u043D\u0430 \u043E\u0441\u043D\u043E\u0432\u0456 \u0432\u0438\u0445\u0456\u0434\u043D\u0438\u0445 \u0434\u0430\u043D\u0438\u0445. \u0413\u0440\u0443\u043F\u0430 RDB2RDF W3C \u0432 \u0434\u0430\u043D\u0438\u0439 \u0447\u0430\u0441 \u0441\u0442\u0430\u043D\u0434\u0430\u0440\u0442\u0438\u0437\u0443\u0454 \u043C\u043E\u0432\u0443 \u0434\u043B\u044F \u0432\u0438\u0434\u043E\u0431\u0443\u0442\u043A\u0443 RDF (\u0430\u043D\u0433\u043B. Resource Description Framework) \u0437 \u0440\u0435\u043B\u044F\u0446\u0456\u0439\u043D\u0438\u0445 \u0431\u0430\u0437 \u0434\u0430\u043D\u0438\u0445. \u0429\u0435 \u043E\u0434\u043D\u0438\u043C \u043F\u043E\u043F\u0443\u043B\u044F\u0440\u043D\u0438\u043C \u043F\u0440\u0438\u043A\u043B\u0430\u0434\u043E\u043C \u0432\u0438\u0434\u043E\u0431\u0443\u0442\u043A\u0443 \u0437\u043D\u0430\u043D\u044C \u0454 \u043F\u0435\u0440\u0435\u0442\u0432\u043E\u0440\u0435\u043D\u043D\u044F \u0412\u0456\u043A\u0456\u043F\u0435\u0434\u0456\u0457 \u0432 \u0441\u0442\u0440\u0443\u043A\u0442\u0443\u0440\u043E\u0432\u0430\u043D\u0456 \u0434\u0430\u043D\u043D\u0456, \u0430 \u0442\u0430\u043A\u043E\u0436 \u0432\u0456\u0434\u043E\u0431\u0440\u0430\u0436\u0435\u043D\u043D\u044F \u0434\u043E \u043D\u0430\u044F\u0432\u043D\u0438\u0445 \u0437\u043D\u0430\u043D\u044C (\u0434\u0438\u0432. DBpedia \u0456 Freebase)."@uk .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://schema.org/mainEntity>	<http://demo.openlinksw.com/about/id/entity/http/dbpedia.org/resource/Knowledge_extraction> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Knowledge_representation_and_reasoning> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://virtuoso.openlinksw.com> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Information_extraction> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2000/01/rdf-schema#comment>	"\u0627\u0633\u062A\u062E\u0631\u0627\u062C \u0627\u0644\u0645\u0639\u0631\u0641\u0629 \u0647\u0648 \u0625\u0646\u0634\u0627\u0621 \u0627\u0644\u0645\u0639\u0631\u0641\u0629 \u0645\u0646 \u0645\u0635\u0627\u062F\u0631 ( \u0642\u0648\u0627\u0639\u062F \u0627\u0644\u0628\u064A\u0627\u0646\u0627\u062A \u0627\u0644\u0639\u0644\u0627\u0626\u0642\u064A\u0629 \u060C XML ) \u0648\u0645\u0635\u0627\u062F\u0631 ( \u0646\u0635 \u060C \u0648\u062B\u0627\u0626\u0642 \u060C \u0635\u0648\u0631 ) \u063A\u064A\u0631 \u0645\u0646\u0638\u0645\u0629. \u064A\u062C\u0628 \u0623\u0646 \u062A\u0643\u0648\u0646 \u0627\u0644\u0645\u0639\u0631\u0641\u0629 \u0627\u0644\u0646\u0627\u062A\u062C\u0629 \u0628\u062A\u0646\u0633\u064A\u0642 \u064A\u0645\u0643\u0646 \u0642\u0631\u0627\u0621\u062A\u0647 \u0622\u0644\u064A\u064B\u0627 \u0648\u062A\u0641\u0633\u064A\u0631\u0647 \u0622\u0644\u064A\u064B\u0627 \u0648\u064A\u062C\u0628 \u0623\u0646 \u062A\u0645\u062B\u0644 \u0627\u0644\u0645\u0639\u0631\u0641\u0629 \u0628\u0637\u0631\u064A\u0642\u0629 \u062A\u0633\u0647\u0644 \u0627\u0644\u0627\u0633\u062A\u0646\u062A\u0627\u062C. \u0639\u0644\u0649 \u0627\u0644\u0631\u063A\u0645 \u0645\u0646 \u0623\u0646\u0647\u0627 \u062A\u0634\u0628\u0647 \u0628\u0634\u0643\u0644 \u0645\u0646\u0647\u062C\u064A \u0627\u0633\u062A\u062E\u0631\u0627\u062C \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062A ( NLP ) \u0648 ETL (\u0645\u0633\u062A\u0648\u062F\u0639 \u0627\u0644\u0628\u064A\u0627\u0646\u0627\u062A) \u060C \u0625\u0644\u0627 \u0623\u0646 \u0627\u0644\u0645\u0639\u064A\u0627\u0631 \u0627\u0644\u0631\u0626\u064A\u0633\u064A \u0647\u0648 \u0623\u0646 \u0646\u062A\u064A\u062C\u0629 \u0627\u0644\u0627\u0633\u062A\u062E\u0631\u0627\u062C \u062A\u062A\u062C\u0627\u0648\u0632 \u0625\u0646\u0634\u0627\u0621 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062A \u0627\u0644\u0645\u0647\u064A\u0643\u0644\u0629 \u0623\u0648 \u0627\u0644\u062A\u062D\u0648\u0644 \u0625\u0644\u0649 \u0645\u062E\u0637\u0637 \u0639\u0644\u0627\u0626\u0642\u064A . \u064A\u062A\u0637\u0644\u0628 \u0625\u0645\u0627 \u0625\u0639\u0627\u062F\u0629 \u0627\u0633\u062A\u062E\u062F\u0627\u0645 \u0627\u0644\u0645\u0639\u0631\u0641\u0629 \u0627\u0644\u0631\u0633\u0645\u064A\u0629 \u0627\u0644\u062D\u0627\u0644\u064A\u0629 (\u0625\u0639\u0627\u062F\u0629 \u0627\u0633\u062A\u062E\u062F\u0627\u0645 \u0627\u0644\u0645\u0639\u0631\u0641\u0627\u062A \u0623\u0648 \u0627\u0644\u0623\u0646\u0637\u0648\u0644\u0648\u062C\u064A\u0627\u062A ) \u0623\u0648 \u0625\u0646\u0634\u0627\u0621 \u0645\u062E\u0637\u0637 \u0628\u0646\u0627\u0621\u064B \u0639\u0644\u0649 \u0627\u0644\u0628\u064A\u0627\u0646\u0627\u062A \u0627\u0644\u0645\u0635\u062F\u0631. \u0648\u064A\u0645\u0643\u0646 \u0644\u0643\u0644 \u0634\u062E\u0635 \u0627\u0633\u062A\u062E\u0631\u0627\u062C \u0627\u0644\u0628\u064A\u0627\u0646\u0627\u062A \u0648\u0645\u0639\u0631\u0641\u0629 \u0642\u064A\u0645\u062A\u0647\u0627 \u0645\u0646 \u062E\u0644\u0627\u0644 \u062F\u0631\u0627\u0633\u0629 \u0627\u0644\u0645\u062D\u062A\u0648\u0649 \u0627\u0644\u0639\u0645\u064A\u0642."@ar .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Citation_analysis> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Cluster_analysis> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://www.mindswap.org/~mhgrove/ConvertToRDF/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://schema.org/url>	<http://dbpedia.org/resource/Knowledge_extraction> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Semantic_reasoner> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Glossary_of_artificial_intelligence> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Natural_language_processing> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Web_annotation> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Knowledge> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2000/01/rdf-schema#comment>	"L'extraction de connaissances est le processus de cr\u00E9ation de connaissances \u00E0 partir d'informations structur\u00E9es (bases de donn\u00E9es relationnelles, XML) ou non structur\u00E9es (textes, documents, images). Le r\u00E9sultat doit \u00EAtre dans un format lisible par les ordinateurs. Le groupe RDB2RDF W3C est en cours de standardisation d'un langage d'extraction de connaissances au format RDF \u00E0 partir de bases de donn\u00E9es. En fran\u00E7ais on parle d'\u00AB extraction de connaissances \u00E0 partir des donn\u00E9es \u00BB (ECD)."@fr .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Extraction> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://rdfs.org/ns/void#sparqlEndpoint>	<http://demo.openlinksw.com/sparql/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2002/07/owl#sameAs>	<http://rdf.freebase.com/ns/m.0gg4sx5> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Reverse_engineering> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/abstract>	"L'extraction de connaissances est le processus de cr\u00E9ation de connaissances \u00E0 partir d'informations structur\u00E9es (bases de donn\u00E9es relationnelles, XML) ou non structur\u00E9es (textes, documents, images). Le r\u00E9sultat doit \u00EAtre dans un format lisible par les ordinateurs. Le groupe RDB2RDF W3C est en cours de standardisation d'un langage d'extraction de connaissances au format RDF \u00E0 partir de bases de donn\u00E9es. En fran\u00E7ais on parle d'\u00AB extraction de connaissances \u00E0 partir des donn\u00E9es \u00BB (ECD)."@fr .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2000/01/rdf-schema#label>	"Extraction de connaissances"@fr .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Inxight> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2000/01/rdf-schema#comment>	"Dob\u00FDv\u00E1n\u00ED znalost\u00ED z datab\u00E1z\u00ED (KDD, Knowledge Discovery in Databases). Tento pojem definovat Usama Fayyad jako proces netrivi\u00E1ln\u00EDho objevov\u00E1n\u00ED implicitn\u00EDch, dop\u0159edu nezn\u00E1m\u00FDch a potenci\u00E1ln\u011B pou\u017Eiteln\u00FDch znalost\u00ED v datech. Podle t\u00E9to definice se n\u011Bkte\u0159\u00ED jedinci mohou myln\u011B domn\u00EDvat, \u017Ee KDD je synonymum pro Data mining ov\u0161em nen\u00ED tomu tak. Data mining je pouze jedn\u00EDm krokem z celkov\u00E9ho procesu dob\u00FDv\u00E1n\u00ED znalost\u00ED z datab\u00E1z\u00ED."@cs .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://www4.wiwiss.fu-berlin.de/bizer/d2r-server/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://example.org/Claus_page> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Knowledge_retrieval> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/property/wikiPageUsesTemplate>	<http://dbpedia.org/resource/Template:Authority_control> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Data_model> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://www.w3.org/TR/rdb-direct-mapping/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://ebiquity.umbc.edu/paper/html/id/480/T2LD-An-automatic-framework-for-extracting-interpreting-and-representing-tables-as-Linked-Data> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://ebiquity.umbc.edu/project/html/id/82/RDF123> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/property/wikiPageUsesTemplate>	<http://dbpedia.org/resource/Template:Reflist> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://example.org/Peters_page> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageRevisionID>	"980025450"^^<http://www.w3.org/2001/XMLSchema#integer> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2000/01/rdf-schema#label>	"\u0627\u0633\u062A\u062E\u0631\u0627\u062C \u0627\u0644\u0645\u0639\u0631\u0641\u0629"@ar .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://example.org/Peters_page%3E> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2007/05/powder-s#describedby>	<http://demo.openlinksw.com/about/id/entity/https/dbpedia.org/data/Tim_Berners-Lee.rdf> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<https://web.archive.org/web/20120719171047/http:/thewikimachine.fbk.eu/html/index.html> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<https://web.archive.org/web/20130514044520/http:/www.cn.ntua.gr/~nkons/essays_en.html%23t> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Domain_knowledge> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<https://web.archive.org/web/20120711232021/http:/www.attensity.com/products/technology/semantic-server/exhaustive-extraction/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/property/date>	"February 2020"@en .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<https://web.archive.org/web/20120712015122/http:/dbpedia.org/spotlight> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Academic_studies_about_Wikipedia> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<https://web.archive.org/web/20160816225339/http:/tao-project.eu/researchanddevelopment/demosanddownloads/RDBToOnto.html> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<https://web.archive.org/web/20170718122006/https:/kwarc.info/projects/krextor/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<https://web.archive.org/web/20160304121216/http:/neon-toolkit.org/wiki/ODEMapster> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<https://web.archive.org/web/20160513114853/http:/www.alchemyapi.com/api> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2000/01/rdf-schema#label>	"\u0412\u0438\u0434\u043E\u0431\u0443\u0442\u043E\u043A \u0437\u043D\u0430\u043D\u044C"@uk .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Named-entity_recognition> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Yolanda_Gil> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Entity_linking> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2007/05/powder-s#describedby>	<http://demo.openlinksw.com/about/id/entity/http/dbpedia.org/resource/Virtuoso_Universal_Server> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Machine_learning> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Outline_of_knowledge> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2002/07/owl#sameAs>	<http://pt.dbpedia.org/resource/Extra\u00E7\u00E3o_de_conhecimento> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Sentiment_analysis> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2007/05/powder-s#describedby>	<https://demo.openlinksw.com/about/id/entity/http/dbpedia.org/resource/Tim_Berners-Lee> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2007/05/powder-s#describedby>	<http://demo.openlinksw.com/about/id/entity/http/dbpedia.org/resource/FOAF_(ontology)> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2002/07/owl#sameAs>	<http://www.wikidata.org/entity/Q1582085> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2002/07/owl#sameAs>	<http://cs.dbpedia.org/resource/Dob\u00FDv\u00E1n\u00ED_znalost\u00ED_z_datab\u00E1z\u00ED> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/isPrimaryTopicOf>	<http://en.wikipedia.org/wiki/Knowledge_extraction> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2002/07/owl#sameAs>	<http://dbpedia.org/resource/Knowledge_extraction> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2002/07/owl#sameAs>	<http://de.dbpedia.org/resource/Knowledge_Discovery_in_Databases> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2002/07/owl#sameAs>	<http://ko.dbpedia.org/resource/\uC9C0\uC2DD_\uCD94\uCD9C> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/1999/02/22-rdf-syntax-ns#type>	<http://schema.org/CreativeWork> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://xmlns.com/foaf/0.1/Person> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2002/07/owl#sameAs>	<http://fr.dbpedia.org/resource/Extraction_de_connaissances> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<https://web.archive.org/web/20110630083409/http:/publishing-statistical-data.googlecode.com/svn/trunk/specs/src/main/html/cube.html> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<https://web.archive.org/web/20110717074012/http:/www.topquadrant.com/products/TB_Composer.html> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/property/wikiPageUsesTemplate>	<http://dbpedia.org/resource/Template:Main> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<https://web.archive.org/web/20090428013624/http:/ccnt.zju.edu.cn/projects/dartgrid/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Name_resolution_(semantics_and_text_extraction)> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<https://web.archive.org/web/20120621115715/http:/lab.linkeddata.deri.ie/2010/grefine-rdf-extension/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Named-entity_recognition> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Software_metric> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<https://web.archive.org/web/20120629052702/http:/inxightfedsys.com/products/sdks/tf/> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Software_mining> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<https://web.archive.org/web/20110723042155/http:/protege.cim3.net/cgi-bin/wiki.pl%3FMappingMaster> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Sequential_pattern_mining> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<https://web.archive.org/web/20110724231333/http:/aksw.org/Projects/Stats2RDF> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<https://github.com/benjamin-adrian/scoobie> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Text_mining> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Text_(literary_theory)> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2000/01/rdf-schema#comment>	"\uC9C0\uC2DD \uCD94\uCD9C\uC740 \uAD6C\uC870\uD654\uB41C \uC790\uB8CC\uC5D0\uC11C \uC9C0\uC2DD\uC744 \uC0DD\uC131\uD558\uB294 \uAC83\uC744 \uC758\uBBF8\uD55C\uB2E4."@ko .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Software_modernization> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<https://github.com/acoli-repo/conll-rdf> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Structure_mining> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/RDFa> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Calais_(Reuters_product)> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Web_mining> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Triplify> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/ns/prov#wasDerivedFrom>	<http://en.wikipedia.org/wiki/Knowledge_extraction?oldid=980025450&ns=0> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Database> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Category:Knowledge> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Ontology_(information_science)> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Web_Ontology_Language> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/YAGO_(database)> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Extract,_transform,_load> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Ontology> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2000/01/rdf-schema#comment>	"Knowledge Discovery in Databases (KDD), auf Deutsch Wissensentdeckung in Datenbanken, erg\u00E4nzt das oft synonym gebrauchte Data-Mining um vorbereitende Untersuchungen und . Ziel des KDD ist die Erkennung bislang unbekannter fachlicher Zusammenh\u00E4nge aus vorhandenen, meist gro\u00DFen Datenbest\u00E4nden. In Abgrenzung zum Data-Mining umfasst KDD als Gesamtprozess auch die Vorbereitung der Daten sowie die Bewertung der Resultate. Die Teilschritte des KDD-Prozesses sind:"@de .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Virtuoso_Universal_Server> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/abstract>	"\u0627\u0633\u062A\u062E\u0631\u0627\u062C \u0627\u0644\u0645\u0639\u0631\u0641\u0629 \u0647\u0648 \u0625\u0646\u0634\u0627\u0621 \u0627\u0644\u0645\u0639\u0631\u0641\u0629 \u0645\u0646 \u0645\u0635\u0627\u062F\u0631 ( \u0642\u0648\u0627\u0639\u062F \u0627\u0644\u0628\u064A\u0627\u0646\u0627\u062A \u0627\u0644\u0639\u0644\u0627\u0626\u0642\u064A\u0629 \u060C XML ) \u0648\u0645\u0635\u0627\u062F\u0631 ( \u0646\u0635 \u060C \u0648\u062B\u0627\u0626\u0642 \u060C \u0635\u0648\u0631 ) \u063A\u064A\u0631 \u0645\u0646\u0638\u0645\u0629. \u064A\u062C\u0628 \u0623\u0646 \u062A\u0643\u0648\u0646 \u0627\u0644\u0645\u0639\u0631\u0641\u0629 \u0627\u0644\u0646\u0627\u062A\u062C\u0629 \u0628\u062A\u0646\u0633\u064A\u0642 \u064A\u0645\u0643\u0646 \u0642\u0631\u0627\u0621\u062A\u0647 \u0622\u0644\u064A\u064B\u0627 \u0648\u062A\u0641\u0633\u064A\u0631\u0647 \u0622\u0644\u064A\u064B\u0627 \u0648\u064A\u062C\u0628 \u0623\u0646 \u062A\u0645\u062B\u0644 \u0627\u0644\u0645\u0639\u0631\u0641\u0629 \u0628\u0637\u0631\u064A\u0642\u0629 \u062A\u0633\u0647\u0644 \u0627\u0644\u0627\u0633\u062A\u0646\u062A\u0627\u062C. \u0639\u0644\u0649 \u0627\u0644\u0631\u063A\u0645 \u0645\u0646 \u0623\u0646\u0647\u0627 \u062A\u0634\u0628\u0647 \u0628\u0634\u0643\u0644 \u0645\u0646\u0647\u062C\u064A \u0627\u0633\u062A\u062E\u0631\u0627\u062C \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062A ( NLP ) \u0648 ETL (\u0645\u0633\u062A\u0648\u062F\u0639 \u0627\u0644\u0628\u064A\u0627\u0646\u0627\u062A) \u060C \u0625\u0644\u0627 \u0623\u0646 \u0627\u0644\u0645\u0639\u064A\u0627\u0631 \u0627\u0644\u0631\u0626\u064A\u0633\u064A \u0647\u0648 \u0623\u0646 \u0646\u062A\u064A\u062C\u0629 \u0627\u0644\u0627\u0633\u062A\u062E\u0631\u0627\u062C \u062A\u062A\u062C\u0627\u0648\u0632 \u0625\u0646\u0634\u0627\u0621 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062A \u0627\u0644\u0645\u0647\u064A\u0643\u0644\u0629 \u0623\u0648 \u0627\u0644\u062A\u062D\u0648\u0644 \u0625\u0644\u0649 \u0645\u062E\u0637\u0637 \u0639\u0644\u0627\u0626\u0642\u064A . \u064A\u062A\u0637\u0644\u0628 \u0625\u0645\u0627 \u0625\u0639\u0627\u062F\u0629 \u0627\u0633\u062A\u062E\u062F\u0627\u0645 \u0627\u0644\u0645\u0639\u0631\u0641\u0629 \u0627\u0644\u0631\u0633\u0645\u064A\u0629 \u0627\u0644\u062D\u0627\u0644\u064A\u0629 (\u0625\u0639\u0627\u062F\u0629 \u0627\u0633\u062A\u062E\u062F\u0627\u0645 \u0627\u0644\u0645\u0639\u0631\u0641\u0627\u062A \u0623\u0648 \u0627\u0644\u0623\u0646\u0637\u0648\u0644\u0648\u062C\u064A\u0627\u062A ) \u0623\u0648 \u0625\u0646\u0634\u0627\u0621 \u0645\u062E\u0637\u0637 \u0628\u0646\u0627\u0621\u064B \u0639\u0644\u0649 \u0627\u0644\u0628\u064A\u0627\u0646\u0627\u062A \u0627\u0644\u0645\u0635\u062F\u0631. \u0648\u064A\u0645\u0643\u0646 \u0644\u0643\u0644 \u0634\u062E\u0635 \u0627\u0633\u062A\u062E\u0631\u0627\u062C \u0627\u0644\u0628\u064A\u0627\u0646\u0627\u062A \u0648\u0645\u0639\u0631\u0641\u0629 \u0642\u064A\u0645\u062A\u0647\u0627 \u0645\u0646 \u062E\u0644\u0627\u0644 \u062F\u0631\u0627\u0633\u0629 \u0627\u0644\u0645\u062D\u062A\u0648\u0649 \u0627\u0644\u0639\u0645\u064A\u0642. \u062A\u0642\u0648\u0645 \u0645\u062C\u0645\u0648\u0639\u0629 RDB2RDF W3C  \u062D\u0627\u0644\u064A\u064B\u0627 \u0628\u062A\u0648\u062D\u064A\u062F \u0644\u063A\u0629 \u0644\u0627\u0633\u062A\u062E\u0631\u0627\u062C \u0623\u0637\u0631 \u0648\u0635\u0641 \u0627\u0644\u0645\u0648\u0627\u0631\u062F (RDF) \u0645\u0646 \u0642\u0648\u0627\u0639\u062F \u0627\u0644\u0628\u064A\u0627\u0646\u0627\u062A \u0627\u0644\u0639\u0644\u0627\u0626\u0642\u064A\u0629 . \u0645\u062B\u0627\u0644 \u0634\u0627\u0626\u0639 \u0622\u062E\u0631 \u0644\u0627\u0633\u062A\u062E\u0631\u0627\u062C \u0627\u0644\u0645\u0639\u0631\u0641\u0629 \u0647\u0648 \u062A\u062D\u0648\u064A\u0644 \u0648\u064A\u0643\u064A\u0628\u064A\u062F\u064A\u0627 \u0625\u0644\u0649 \u0628\u064A\u0627\u0646\u0627\u062A \u0645\u0646\u0638\u0645\u0629 \u0648\u0623\u064A\u0636\u064B\u0627 \u0631\u0633\u0645 \u0627\u0644\u062E\u0631\u0627\u0626\u0637 \u0644\u0644\u0645\u0639\u0631\u0641\u0629 \u0627\u0644\u062D\u0627\u0644\u064A\u0629 (\u0627\u0646\u0638\u0631 DBpedia \u0648 Freebase )."@ar .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/abstract>	"\uC9C0\uC2DD \uCD94\uCD9C\uC740 \uAD6C\uC870\uD654\uB41C \uC790\uB8CC\uC5D0\uC11C \uC9C0\uC2DD\uC744 \uC0DD\uC131\uD558\uB294 \uAC83\uC744 \uC758\uBBF8\uD55C\uB2E4."@ko .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/FOAF_(ontology)> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Frame_semantics_(linguistics)> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://purl.org/dc/terms/subject>	<http://dbpedia.org/resource/Category:Knowledge> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2000/01/rdf-schema#label>	"Knowledge extraction"@en .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Data> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Intermediate_representation> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Image> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Knowledge_Discovery_Metamodel> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Concept_drift> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Data_set> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Language_identification> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://www.w3.org/2000/01/rdf-schema#label>	"Dob\u00FDv\u00E1n\u00ED znalost\u00ED z datab\u00E1z\u00ED"@cs .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Metamodeling> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Ontology_engineering> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Object_Management_Group> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Concept_mining> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Molecule_mining> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://xmlns.com/foaf/0.1/topic>	<http://dbpedia.org/resource/Web_scraping> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Concept> .
<http://dbpedia.org/resource/Knowledge_extraction>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/R2RML> .