Data Graphs drinks its own Champagne
A Content Graph case study on how the Data Graphs website is self powered - entirely knowledge graph driven
StandICT.eu_Landscape of Ontologies Standards_V1.0.pdf
The inclusion of 'Ontology and Graphs' in Gartner's hype cycle report signifies growing maturity and acceptance as a practical solution
Ontology adoption extends beyond managing taxonomy and glossary, encompassing areas such as natural language processing, big data and machine learning, cyber-physical systems, FAIR data, model-based engineering & digital twins
This comprehensive survey of the Landscape of Ontologies Standards presents a curated collection of ontologies that are highly relevant to ICT domains and vertical sectors, considering their maturity, prominence, and suitability for representing linked data in the #semanticweb
A Landscape of Ontologies Standards (Report of TWG Ontologies) | StandICT.eu 2026
The inclusion of 'Ontology and Graphs' in Gartner's hype cycle report signifies growing maturity and acceptance as a practical solution
Ontology adoption extends beyond managing taxonomy and glossary, encompassing areas such as natural language processing, big data and machine learning, cyber-physical systems, FAIR data, model-based engineering & digital twins
This comprehensive survey of the Landscape of Ontologies Standards presents a curated collection of ontologies that are highly relevant to ICT domains and vertical sectors, considering their maturity, prominence, and suitability for representing linked data in the #semanticweb
Pisa, Italy - 24 May 2023] - The StandICT.eu Technical Group for ICT under the European Observatory for ICT Standardisation (EUOS) has formed a special interest group comprising domain experts, ontologists, and researchers from academia and industry. Together, they have conducted a comprehensive survey of the Landscape of Ontologies Standards.
The result of their months-long effort is a remarkable report, now released by the StandICT.eu 2026 community. This report presents a curated collection of ontologies that are highly relevant to ICT domains and vertical sectors, considering their maturity, prominence, and suitability for representing linked data in the semantic web.
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Since their emergence in Gartner's Emerging Technologies report in 2001, Ontology engineering has steadily progressed, primarily through academic efforts to support the semantic web stack. The recent inclusion of 'Ontology and Graphs' in Gartner's "hype cycle" report in 2020 signifies its growing maturity and acceptance as a practical solution for numerous ICT applications. Today, Ontology adoption extends beyond managing taxonomy and glossary, encompassing areas such as natural language processing, big data and machine learning, cyber-physical systems, FAIR data, model-based engineering, digital twin, and thread.
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This week I was very fortunate to be invited to attend the honorary degree ceremony of Sir Tim Berners-Lee by the London School of Economics. The title of…
Interoperable between data and policies is key. On the web, interoperability for pages is HTML. For data, it’s RDF. For people and policies it’s Solid
Internet Meme Knowledge Graph
“GraphGPT is a system that uses GPT, a language model developed by OpenAI”
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GraphGPT: convert unstructured natural language into a knowledge graph
By Dr. Verónica Espinoza, 2023 / Twitter @Verukita1
the RDF-star Working Group at W3C has published 16 First Public Working Drafts, which represent the first milestone in the update of the #RDF and #SPARQL families of specification towards version 1.2
📢 the RDF-star Working Group at W3C has published 16 First Public Working Drafts, which represent the first milestone in the update of the #RDF and #SPARQL…
the RDF-star Working Group at W3C has published 16 First Public Working Drafts, which represent the first milestone in the update of the #RDF and #SPARQL families of specification towards version 1.2
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