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Sharing SPARQL queries in Wikibase
Sharing SPARQL queries in Wikibase
Sharing SPARQL queries in Wikibase! Check it out: https://t.co/3FsC4xVRGlWikibase simplifies working with knowledge graphs by allowing users to share predefined SPARQL queries. It seamlessly integrates into the query service, making data exploration easier.#graphdatabase #data pic.twitter.com/bFVaZSh60t— The QA Company (@TheQACompany) May 31, 2023
#KnowledgeGraph
·twitter.com·
Sharing SPARQL queries in Wikibase
Companies in Multilingual Wikipedia: Articles Quality and Important Sources of Information
Companies in Multilingual Wikipedia: Articles Quality and Important Sources of Information
The scientific work of members of our Department was published in the monograph "Information Technology for Management: Approaches to Improving Business and Society" published by the Springer. The research concerns the automatic assessment of the quality of Wikipedia articles and the reliability of
#KnowledgeGraph#open data
·kie.ue.poznan.pl·
Companies in Multilingual Wikipedia: Articles Quality and Important Sources of Information
Explore OntoGPT for Schema-based Knowledge Extraction
Explore OntoGPT for Schema-based Knowledge Extraction
The OntoGPT framework and SPIRES tool provide a principled approach to extract knowledge from unstructured text for integration into Knowledge Graphs (KGs), using Large Language Models such as GPT. This methodology enables handling complex relationships, ensures logical consistency, and aligns with predefined ontologies for better KG integration.
The OntoGPT framework and SPIRES tool provide a principled approach to extract knowledge from unstructured text for integration into Knowledge Graphs (KGs), using Large Language Models such as GPT. This methodology enables handling complex relationships, ensures logical consistency, and aligns with predefined ontologies for better KG integration
#KnowledgeGraph#LLM#AI
·apex974.com·
Explore OntoGPT for Schema-based Knowledge Extraction
StandICT.eu_Landscape of Ontologies Standards_V1.0.pdf
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

#KnowledgeGraph
·up.raindrop.io·
StandICT.eu_Landscape of Ontologies Standards_V1.0.pdf
A Landscape of Ontologies Standards (Report of TWG Ontologies) | StandICT.eu 2026
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. DOWNLOAD   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.
#KnowledgeGraph
·standict.eu·
A Landscape of Ontologies Standards (Report of TWG Ontologies) | StandICT.eu 2026
Structure-inducing pre-training
Structure-inducing pre-training
Nature Machine Intelligence - Designing methods to induce explicit and deep structural constraints in latent space at the sample level is an open problem in natural language processing-derived...
#GraphAI#AI
·nature.com·
Structure-inducing pre-training
A Hyperparametrization Is All You Need - Building a Recommendation System for Telecommunication Packages Using Graph Neural Networks
A Hyperparametrization Is All You Need - Building a Recommendation System for Telecommunication Packages Using Graph Neural Networks
Graph Neural Networks can be used for a variety of applications but do you know what it takes to create a great recommendation system? Dive deep into the math of GNNs, implement a link prediction module and show everyone how stunning graph machine learning can be!
#GraphAI
·memgraph.com·
A Hyperparametrization Is All You Need - Building a Recommendation System for Telecommunication Packages Using Graph Neural Networks
TODA, EMS & Graphs – New Enterprise Architectural Tools For A New Age
TODA, EMS & Graphs – New Enterprise Architectural Tools For A New Age
Change & Risk Require New Enterprise Tools As AI systems, bots (both digital and physical), AI leveraged smart digital identities, and IoT devices invade your enterprise, it increases the pace of change and risk. This brief article focuses on why you should be deploying TODA, EMS and graphs in your
TODA, EMS & Graphs – New Enterprise Architectural Tools For A New Age”
#GraphAnalytics#GraphDB#use case
·linkedin.com·
TODA, EMS & Graphs – New Enterprise Architectural Tools For A New Age
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
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
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
#KnowledgeGraph
·linkedin.com·
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
Don't make directed graphs undirected! Introducing Dir-GNN, extending any spatial MPNN to handle directed graphs
Don't make directed graphs undirected! Introducing Dir-GNN, extending any spatial MPNN to handle directed graphs
Don't make directed graphs undirected!  Introducing Dir-GNN, extending any spatial MPNN to handle directed graphs.  Preserving edge directionality is crucial…
Don't make directed graphs undirected! Introducing Dir-GNN, extending any spatial MPNN to handle directed graphs
#GraphAI#research
·linkedin.com·
Don't make directed graphs undirected! Introducing Dir-GNN, extending any spatial MPNN to handle directed graphs
A Guide to ICLR 2023 — 10 Topics and 50 papers you shouldn't miss
A Guide to ICLR 2023 — 10 Topics and 50 papers you shouldn't miss
The 2023 International Conference on Learning Representations is going live in Kigali on May 1st, and it comes packed with more than 2300 papers. Reasoning in Language Models, Diffusion, Self supervised learning for Computer Vision, Molecular Modeling, Graph Neural Networks, Federated Learning, and much more... Here's our guide to get you started. The role of conferences in the modern world of ML research has shifted. Previously seen as a platform for disseminating cutting-edge research, confere
#GraphAI
·zeta-alpha.com·
A Guide to ICLR 2023 — 10 Topics and 50 papers you shouldn't miss
Global Graph Analytics Market Analysis Report 202: A $6.9 Billion Market by 2028 from $1.14 Billion in 2022 - Increasing Adoption of Graph AI & Surge in Adoption of Machine Learning
Global Graph Analytics Market Analysis Report 202: A $6.9 Billion Market by 2028 from $1.14 Billion in 2022 - Increasing Adoption of Graph AI & Surge in Adoption of Machine Learning
Dublin, April 24, 2023 (GLOBE NEWSWIRE) -- The "Global Graph Analytics Market: Analysis By Component, By Deployment, By Enterprise Size, By Application,...
#GraphAnalytics#business
·globenewswire.com·
Global Graph Analytics Market Analysis Report 202: A $6.9 Billion Market by 2028 from $1.14 Billion in 2022 - Increasing Adoption of Graph AI & Surge in Adoption of Machine Learning
Recursion Enters into Agreements to Acquire Cyclica and Valence to Bolster Chemistry and Generative AI Capabilities | Recursion Pharmaceuticals, Inc.
Recursion Enters into Agreements to Acquire Cyclica and Valence to Bolster Chemistry and Generative AI Capabilities | Recursion Pharmaceuticals, Inc.
SALT LAKE CITY and TORONTO and MONTRÉAL , May 08, 2023 (GLOBE NEWSWIRE) -- Recursion (NASDAQ: RXRX), a leading clinical stage TechBio company decoding biology to industrialize drug discovery, today announced it has signed agreements to acquire two companies in the AI-enabled drug discovery space:
#GraphAI#business
·ir.recursion.com·
Recursion Enters into Agreements to Acquire Cyclica and Valence to Bolster Chemistry and Generative AI Capabilities | Recursion Pharmaceuticals, Inc.
Graph Query Language GQL
Graph Query Language GQL
May 16, 2023 – GQL Status Update In February, 2023, the GQL standards committee (ISO/IEC JTC1 SC32 WG3) had a week-long meeting in Zeist, Netherlands, where we reviewed and accepted papers that completed the resolution of all of the GQL CD2 comments. The editors applied the papers, the authors
#GraphDB
·gqlstandards.org·
Graph Query Language GQL
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 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
#KnowledgeGraph
·linkedin.com·
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
Graph ML News (May 20th)
Graph ML News (May 20th)
Graph ML News (May 20th) The NeurIPS deadline has passed so we could finally disconnect from the cluster, breathe in some fresh air and get ready for the supplementary deadline and/or paper bidding depending on your status. The Workshop on Mining and Learning with Graph (MLG) at KDD’23 accepts submissions until May 30th. This year KDD will feature both MLG and Graph Learning Benchmarks (GLB), so two more reasons to visit Long Beach and chat with the fellow graph folks 😉 CS224W, one of the best graph courses from Stanford, started publishing project reports of the Winter 2023 cohort: some new articles include solving TSP with GNNs, approaching code similarity, and building music recommendation system with GNNs. More reports will be published within the next few weeks. Weekend reading: DRew: Dynamically Rewired Message Passing with Delay feat. Michael Bronstein and Francesco Di Giovanni (ICML’23) Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs (ICML’23) Can Language Models Solve Graph Problems in Natural Language? On the Connection Between MPNN and Graph Transformer
#GraphAI#research
·t.me·
Graph ML News (May 20th)