# RDF Vendor Landscape **Author:** [Veronika Heimsbakk](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23veleda) **Source:** https://github.com/veleda/rdf-vendor-landscape **Live Site:** https://veleda.github.io/rdf-vendor-landscape/ **RDF Resolver:** [Meta-KG](../rdf/rdf-vendor-landscape-deepseek_v4pro-1.ttl) **Source HTML:** [rdf-vendor-landscape-deepseek_v4pro-1.html](rdf-vendor-landscape-deepseek_v4pro-1.html) --- ## Overview The [RDF Vendor Landscape](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23vendorLandscapeDataset) is a comprehensive, interactive guide to 75 databases, frameworks, and tools in the RDF and semantic web ecosystem. It is built from a single [RDF Turtle source of truth](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23termVendorsTTL) — `vendors.ttl` — using the [maplib](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23maplibTool) library and [SPARQL](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23sparqlTech) to extract data and generate a self-contained single-page website deployed via [GitHub Pages](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23gitHubPagesTech). --- ## Statistics | Metric | Count | |--------|-------| | Total Products | 75 | | Databases | 22 | | Frameworks | 23 | | Tools | 30 | | Organizations | 59 | | Countries | 19 | | Focus Areas | 231 | | Standards Tracked | 14 | | RDF Triples | 3,071 | --- ## Build Pipeline ### [Step 1: Edit vendors.ttl](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23stepSource) Edit the RDF Turtle file — the single source of truth for all vendor data. Add new vendors, update descriptions, correct URLs, or modify metadata. ### [Step 2: Run build.py](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23stepBuild) Execute the Python build script which uses [maplib](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23maplibTool) to parse vendors.ttl, run SPARQL queries, and inject the results as a JavaScript array into index.html. ### [Step 3: Deploy via GitHub Pages](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23stepDeploy) Commit and push. GitHub Pages automatically deploys the self-contained index.html — no server required. --- ## SPARQL Query Examples Five live queries against the vendor landscape instance data. All use `default-graph-uri` pointing to `rdf-vendor-landscape-instance-data-deepseek_v4pro-1.ttl`. ### Query 1: Vendor Count by Type Count products in each category. [▶ Run live query](https://linkeddata.uriburner.com/sparql?default-graph-uri=https%3A%2F%2Flinkeddata.uriburner.com%2FDAV%2Fdemos%2Fdaas%2Frdf-vendor-landscape-instance-data-deepseek_v4pro-1.ttl&query=PREFIX+vl%3A+%3Chttp%3A%2F%2Fdata.veronahe.no%2Fvocab%23%3E%0ASELECT+%3Ftype+%28COUNT%28%3Fproduct%29+AS+%3Fcount%29%0AWHERE+%7B%0A++%3Fproduct+a+%3Ftype+.%0A++FILTER%28%3Ftype+IN+%28vl%3ADatabase%2C+vl%3AFramework%2C+vl%3ATool%29%29%0A%7D%0AGROUP+BY+%3Ftype%0AORDER+BY+DESC%28%3Fcount%29&format=text%2Fx-html-tr&timeout=0&debug=on&run=+Run+Query+) ```sparql PREFIX vl: SELECT ?type (COUNT(?product) AS ?count) WHERE { ?product a ?type . FILTER(?type IN (vl:Database, vl:Framework, vl:Tool)) } GROUP BY ?type ORDER BY DESC(?count) ``` ### Query 2: Products Supporting SPARQL 1.1 List products with SPARQL 1.1 support and their manufacturer organizations. [▶ Run live query](https://linkeddata.uriburner.com/sparql?default-graph-uri=https%3A%2F%2Flinkeddata.uriburner.com%2FDAV%2Fdemos%2Fdaas%2Frdf-vendor-landscape-instance-data-deepseek_v4pro-1.ttl&query=PREFIX+vl%3A+%3Chttp%3A%2F%2Fdata.veronahe.no%2Fvocab%23%3E%0APREFIX+std%3A+%3Chttp%3A%2F%2Fdata.veronahe.no%2Fstandard%2F%3E%0APREFIX+schema%3A+%3Chttp%3A%2F%2Fschema.org%2F%3E%0ASELECT+%3Fproduct+%3Fname+%3ForgName%0AWHERE+%7B%0A++%3Fproduct+vl%3AsupportsStandard+std%3ASPAPQL-1-1+%3B+schema%3Aname+%3Fname+.%0A++OPTIONAL+%7B+%3Fproduct+schema%3Amanufacturer+%3Forg+.+%3Forg+schema%3Aname+%3ForgName+%7D%0A%7D+ORDER+BY+%3Fname&format=text%2Fx-html-tr&timeout=0&debug=on&run=+Run+Query+) ```sparql PREFIX vl: PREFIX std: PREFIX schema: SELECT ?product ?name ?orgName WHERE { ?product vl:supportsStandard std:SPARQL-1-1 ; schema:name ?name . OPTIONAL { ?product schema:manufacturer ?org . ?org schema:name ?orgName } } ORDER BY ?name ``` ### Query 3: Products by Country Geographic distribution of the RDF ecosystem. [▶ Run live query](https://linkeddata.uriburner.com/sparql?default-graph-uri=https%3A%2F%2Flinkeddata.uriburner.com%2FDAV%2Fdemos%2Fdaas%2Frdf-vendor-landscape-instance-data-deepseek_v4pro-1.ttl&query=PREFIX+vl%3A+%3Chttp%3A%2F%2Fdata.veronahe.no%2Fvocab%23%3E%0APREFIX+rdfs%3A+%3Chttp%3A%2F%2Fwww.w3.org%2F2000%2F01%2Frdf-schema%23%3E%0ASELECT+%3FcountryLabel+%28COUNT%28%3Fproduct%29+AS+%3Fcount%29%0AWHERE+%7B%0A++%3Fproduct+vl%3Acountry+%3Fcountry+.%0A++%3Fcountry+rdfs%3Alabel+%3FcountryLabel+.%0A%7D%0AGROUP+BY+%3FcountryLabel%0AORDER+BY+DESC%28%3Fcount%29&format=text%2Fx-html-tr&timeout=0&debug=on&run=+Run+Query+) ```sparql PREFIX vl: PREFIX rdfs: SELECT ?countryLabel (COUNT(?product) AS ?count) WHERE { ?product vl:country ?country . ?country rdfs:label ?countryLabel . } GROUP BY ?countryLabel ORDER BY DESC(?count) ``` ### Query 4: Organizations with the Most Products Rank organizations by product count. [▶ Run live query](https://linkeddata.uriburner.com/sparql?default-graph-uri=https%3A%2F%2Flinkeddata.uriburner.com%2FDAV%2Fdemos%2Fdaas%2Frdf-vendor-landscape-instance-data-deepseek_v4pro-1.ttl&query=PREFIX+schema%3A+%3Chttp%3A%2F%2Fschema.org%2F%3E%0ASELECT+%3ForgName+%28COUNT%28%3Fproduct%29+AS+%3FproductCount%29%0AWHERE+%7B%0A++%3Fproduct+schema%3Amanufacturer+%3Forg+.%0A++%3Forg+schema%3Aname+%3ForgName+.%0A%7D%0AGROUP+BY+%3ForgName%0AORDER+BY+DESC%28%3FproductCount%29%0ALIMIT+15&format=text%2Fx-html-tr&timeout=0&debug=on&run=+Run+Query+) ```sparql PREFIX schema: SELECT ?orgName (COUNT(?product) AS ?productCount) WHERE { ?product schema:manufacturer ?org . ?org schema:name ?orgName . } GROUP BY ?orgName ORDER BY DESC(?productCount) LIMIT 15 ``` ### Query 5: Vendor Profile — OpenLink Software's OSDS Full profile of the OSDS browser extension. [▶ Run live query](https://linkeddata.uriburner.com/sparql?default-graph-uri=https%3A%2F%2Flinkeddata.uriburner.com%2FDAV%2Fdemos%2Fdaas%2Frdf-vendor-landscape-instance-data-deepseek_v4pro-1.ttl&query=PREFIX+schema%3A+%3Chttp%3A%2F%2Fschema.org%2F%3E%0ADESCRIBE+%3Chttps%3A%2F%2Fgithub.com%2FOpenLinkSoftware%2FOSDS_extension%23this%3E&format=text%2Fx-html-nice-turtle&timeout=0&debug=on&run=+Run+Query+) ```sparql PREFIX schema: DESCRIBE ``` --- ## FAQ 1. **[What is the RDF Vendor Landscape?](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23q1)** — A comprehensive guide to 75 RDF databases, frameworks, and tools. 2. **[What is the source of truth?](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23q2)** — `vendors.ttl` — an RDF Turtle document. 3. **[How is the website built?](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23q3)** — vendors.ttl → build.py (maplib + SPARQL) → index.html. 4. **[How many vendors?](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23q4)** — 75 (22 DB, 23 FW, 30 Tools) from 59 orgs across 19 countries. 5. **[What technologies?](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23q5)** — RDF Turtle, maplib, SPARQL, GitHub Pages. 6. **[How to contribute?](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23q6)** — Edit vendors.ttl, run build.py, verify, submit PR. 7. **[License?](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23q7)** — Data and code open for reuse; individual vendor entries carry their own licenses. 8. **[Standards tracked?](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23q8)** — 14: RDF 1.1, SPARQL 1.1, OWL 2, SHACL, JSON-LD, RDFa, Turtle, N-Triples, RDF/XML, SPARQL Update/Protocol, LDP, GeoSPARQL, Graph Store Protocol. 9. **[Org types?](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23q9)** — 59: Big Tech, AI labs, open-source foundations, universities, semantic web specialists. 10. **[Benchmarks?](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23q10)** — Speed tiers (fast, varies) and scale tiers (large, medium, small) from trainmarks. 11. **[Focus areas?](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23q11)** — 231 focus areas: SPARQL, SHACL, OWL, RDF visualization, KG construction, linked data, etc. 12. **[Live site?](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fgithub.com%2Fveleda%2Frdf-vendor-landscape%23q12)** — [veleda.github.io/rdf-vendor-landscape](https://veleda.github.io/rdf-vendor-landscape/) --- ## Related Resources - [Source repository](https://github.com/veleda/rdf-vendor-landscape) - [Live site](https://veleda.github.io/rdf-vendor-landscape/) - [Meta-KG TTL](../rdf/rdf-vendor-landscape-deepseek_v4pro-1.ttl) (323 triples) - [Extracted Ontology TTL](../rdf/rdf-vendor-landscape-ontology-deepseek_v4pro-1.ttl) (660 triples) - [Instance Data TTL](../rdf/rdf-vendor-landscape-instance-data-deepseek_v4pro-1.ttl) (3,004 triples) - [HTML Infographic](rdf-vendor-landscape-deepseek_v4pro-1.html) - [Corrected vendors.ttl](file:///Users/kidehen/Documents/RDF_DATA/test-data/vendors.ttl) (3,071 triples, 59 orgs) --- *Generated 2026-05-20 using [kg-generator](https://github.com/OpenLinkSoftware/ai-agent-skills/tree/main/kg-generator) and [rdf-infographic-skill](https://github.com/OpenLinkSoftware/ai-agent-skills/tree/main/rdf-infographic-skill) via DeepSeek V4 Pro on Claude Code. Entity links via [URIBurner](https://linkeddata.uriburner.com/) describe service.*