• Facets (new session)
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  • Rule: ActivityStreamsMapasEquivalentb3sb3sifpccisofacetshttp://demo.openlinksw.com/dataspacehttp://www.w3.org/2002/07/owl#ldpoplwebrel-me-authskos-transsql-vdb-data-lakeurn:ALKAdatareducedurn:analytics:acqof:ruleurn:clothing:rule:qaurn:det:rdf:labelurn:inference:oplfaq:ruleurn:inference:product:feature:inverse:ruleurn:ingleng:inf:demo:inf:ruleurn:kbpedia:actor:subclass:test:rulesurn:kbpedia:comedian:owl:equivalent:class:subproperty:inference:rulesurn:kbpedia:mime-artist:owl:equivalent:class:subproperty:inference:rulesurn:kbpedia:owl:equivalent:class:subproperty:inference:rulesurn:kbpedia:philosopher:owl:equivalent:class:subproperty:inference:rulesurn:kbpedia:stage-actor:owl:equivalent:class:subproperty:inference:rulesurn:kgdemo:1:ifp:ruleurn:kgdemo:1:ifp:rule2urn:lava:demo:ruleurn:owl:equivalent:class:inference:rulesurn:rdfs:subclass:subproperty:inference:rulesurn:rdfs:type:wikidata:ruleurn:recon:data:ifpurn:recon:data:ifp:ruleurn:recruitment:rule:built-in:ruleurn:rsm12e:translation:ruleurn:rxnorm:data:ruleurn:se:demo:inference:ruleurn:test:skos:inverse:ruleurn:wireless:plans:features:builtin:inference:rule:1virtrdf-eturtle-containersvirtrdf-hashtagvirtrdf-ifpvirtrdf-labelvirtrdf-meta-entity-classvirtrdf-urlNone
    
  • Inverse Functional Properties: Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects
  • "Same As": Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects (recommended) Apply to subjects, objects and predicates (not recommended on big datasets) Apply to predicates only (special use cases only)

This is a large comment field for those who want to investigate the different uses of the 'expresses' relation for modeling different approaches to meaning characterization and modeling. For example, in all these cases, some aspect of meaning is involved: - Beehive means "a structure in which bees are kept, typically in the form of a dome or box." (Oxford dictionary) - 'Beehive' is a synonym in noun synset 09218159 "beehive|hive" (WordNet) - 'the term Beehive can be interpreted as the fact of 'being a beehive', i.e. a relation that holds for concepts such as Bee, Honey, Hosting, etc.' - 'the text of Italian apiculture regulation expresses a rule by which beehives should be kept at least one kilometer away from inhabited areas' - 'the term Beehive expresses the concept Beehive' - ''Beehive' for apiculturists does not express the same meaning as for, say, fishermen' - 'Your meaning of 'Beautiful' does not seem to fit mine' - ''Beehive' is formally interpreted as the set of all beehives' - 'from the term 'Beehive', we can build a vector space of statistically significant cooccurring terms in the documents that contain it' - the lexeme 'Belly' expresses the role 'Body_Part' in the frame 'ObservableBodyParts' (FrameNet) As the examples suggest, the 'meaning of meaning' is dependent on the background approach/theory that one assumes. One can hardly make a summary of the too many approaches and theories of meaning, therefore this relation is maybe the most controversial and difficult to explain; normally, in such cases it would be better to give up formalizing. However, the usefulness of having a 'semantic abstraction' in modeling information objects is so high (e.g. for the semantic web, interoperability, reengineering, etc.), that we accept this challenging task, although without taking any particular position in the debate. We provide here some examples, which we want to generalize upon when using the 'expresses' relation to model semantic aspects of social reality. In the most common approach, lexicographers that write dictionaries, glossaries, etc. assume that the meaning of a term is a paraphrase (or 'gloss', or 'definition'). Another approach is provided by concept schemes like thesauri and lexicons, which assume that the meaning of a term is a 'concept', encoded as a 'lemma', 'synset', or 'descriptor'. Still another approach is that of psychologists and cognitive scientists, which often assume that the meaning of an information object is a concept encoded in the mind or cognitive system of an agent. A radically different approach is taken by social scientists and semioticians, who usually assume that meanings of an information object are spread across the communication practices in which members of a community use that object. Another approach that tackles the distributed nature of meaning is assumed by geometrical models of semantics, which assume that the meaning of an InformationObject (e.g. a word) results from the set of informational contexts (e.g. within texts) in which that object is used similarly. The logical approach to meaning is still different, since it assumes that the meaning of e.g. a term is equivalent to the set of individuals that the term can be applied to; for example, the meaning of 'Ali' is e.g. an individual person called Ali, the meaning of 'Airplane' is e.g. the set of airplanes, etc. Finally, an approach taken by structuralist linguistics and frame semantics is that a meaning is the relational context in which an information object can be applied; for example, a meaning of 'Airplane' is situated e.g. in the context ('frame') of passenger airline flights. These different approaches are not necessarily conflicting, and they mostly talk about different aspects of so-called 'semantics'. They can be summarized and modelled within DOLCE-Ultralite as follows (notice that such list is far from exhaustive): (1) Informal meaning (as for linguistic or commonsense semantics: a distinction is assumed between (informal) meaning and reference; see isAbout for an alternative pattern on reference) - Paraphrase meaning (as for lexicographic semantics). Here it is modelled as the expresses relation between instances of InformationObject and different instances of InformationObject that act as 'paraphrases' - Conceptual meaning (as for 'concept scheme' semantics). Here it is modelled as the expresses relation between instances of InformationObject and instances of Concept - Relational meaning (as for frame semantics). Here it is modelled as the expresses relation between instances of InformationObject and instances of Description - Cognitive meaning (as for 'psychological' semantics). Here it is modelled as the expresses relation between any instance of InformationObject and any different instance of InformationObject that isRealizedBy a mental, cognitive or neural state (depending on which theory of mind is assumed). Such states can be considered here as instances of Process (occurring in the mind, cognitive system, or neural system of an agent) - Cultural meaning (as for 'social science' semantics). Here it is modelled as the expresses relation between instances of InformationObject and instances of SocialObject (institutions, cultural paradigms, norms, social practices, etc.) - Distributional meaning (as for geometrical models of meaning). Here it is modelled as the expresses relation between any instance of InformationObject and any different instance of InformationObject that isFormallyRepresentedIn some (geometrical) Region (e.g. a vector space) (2) Formal meaning (as for logic and formal semantics: no distinction is assumed between informal meaning and reference, therefore between 'expresses' and 'isAbout', which can be used interchangeably) - Object-level formal meaning (as in the traditional first-order logic semantics). Here it is modelled as the expresses relation between an instance of InformationObject and an instance of Collection that isGroundingFor (in most cases) a Set; isGroundingFor is defined in the ontology: http://www.ontologydesignpatterns.org/ont/dul/IOLite.owl - Modal formal meaning (as in possible-world semantics). Here it is modelled as the expresses relation between an instance of InformationObject and an instance of Collection that isGroundingFor a Set, and which isPartOf some different instance of Collection that isGroundingFor a PossibleWorld This is only a first step to provide a framework, in which one can model different aspects of meaning. A more developed ontology should approach the problem of integrating the different uses of 'expresses', so that different theories, resources, methods can interoperate.