Knowledge Tree
Semantic Web
Facts (12)
Sources
The Synergy of Symbolic and Connectionist AI in LLM-Empowered ... arxiv.org Jul 11, 2024 3 facts
referenceGrigoris Antoniou and Frank Van Harmelen authored 'A Semantic Web Primer', published by MIT Press in 2004.
referenceTim Berners-Lee, James Hendler, and Ora Lassila argued in 2023 that the Semantic Web creates a new form of web content meaningful to computers, potentially unleashing new possibilities.
claimThe Semantic Web movement aimed to create a more intelligent and interconnected web by using RDF to build schemas and taxonomies, which formed the basis of modern knowledge graphs.
A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com Nov 4, 2024 3 facts
claimKnowledge Graphs can be traced back to Tim Berners-Lee’s Semantic Web vision, which aimed to create a machine-understandable web of data.
referenceBerners-Lee, Hendler, and Lassila (2001) published 'The semantic web' in Scientific American.
referenceAuer et al. (2007) published 'Dbpedia: a nucleus for a web of open data' in 'The Semantic Web'.
KR 2026 : 23rd International Conference on Principles of ... - WikiCFP wikicfp.com 2 facts
claimThe field of Knowledge Representation and Reasoning (KR) has contributed to AI areas including agents, automated planning, robotics, and natural language processing, as well as fields such as data management, the semantic web, verification, software engineering, computational biology, and cybersecurity.
claimThe 23rd International Conference on Principles of Knowledge Representation and Reasoning (KR 2026) covers research topics including argumentation, belief change, common-sense reasoning, computational aspects of knowledge representation, description logics, ethical considerations in knowledge representation, explanation, abduction and diagnosis, geometric, spatial, and temporal reasoning, inconsistency- and exception-tolerant reasoning, knowledge acquisition, knowledge compilation, automated reasoning, satisfiability and model counting, knowledge representation languages, logic programming, answer set programming, model learning for diagnosis and planning, modeling and reasoning about preferences, modeling constraints and constraint solving, multi- and order-sorted representations and reasoning, non-monotonic logics, ontologies and knowledge-enriched data management, philosophical foundations of knowledge representation, qualitative reasoning, reasoning about actions and change, action languages, reasoning about knowledge, beliefs, and other mental attitudes, reasoning in knowledge graphs, reasoning in multi-agent systems, semantic web, similarity-based and contextual reasoning, and uncertainty and vagueness.
The State Of The Art On Knowledge Graph Construction From Text nlpsummit.org 1 fact
measurementNandana Mihindukulasooriya holds a PhD in AI and has published more than 60 peer-reviewed papers in journals and conferences related to the Semantic Web and Knowledge Graphs.
Neuro-Symbolic AI: Explainability, Challenges, and Future Trends arxiv.org Nov 7, 2024 1 fact
referenceM Jaleed Khan, John G Breslin, and Edward Curry authored 'NeuSyRE: Neuro-symbolic visual understanding and reasoning framework based on scene graph enrichment', published in Semantic Web Preprint in 2023, pp. 1–25.
Call for Papers: Main Track - KR 2026 kr.org 1 fact
claimThe KR 2026 conference accepts submissions on topics including argumentation, belief change, common-sense reasoning, computational aspects of knowledge representation, description logics, ethical considerations in KR, explanation/abduction/diagnosis, geometric/spatial/temporal reasoning, inconsistency- and exception-tolerant reasoning, knowledge acquisition, knowledge compilation/automated reasoning/satisfiability/model counting, knowledge representation languages, logic programming/answer set programming, model learning for diagnosis and planning, modeling and reasoning about preferences, modeling constraints and constraint solving, multi- and order-sorted representations and reasoning, non-monotonic logics, ontologies and knowledge-enriched data management, philosophical foundations of KR, qualitative reasoning, reasoning about actions and change/action languages, reasoning about knowledge/beliefs/mental attitudes, reasoning in knowledge graphs, reasoning in multi-agent systems, semantic web, similarity-based and contextual reasoning, and uncertainty and vagueness.
The construction and refined extraction techniques of knowledge ... nature.com Feb 10, 2026 1 fact
referenceMartinez-Rodriguez, J. L., Hogan, A. & Lopez-Arevalo, I. published 'Information extraction Meets the semantic web: a survey' in Semantic Web. 11 (2), 255–335 (2020).