Knowledge Tree
ontology matching
Facts (11)
Sources
Construction of Knowledge Graphs: State and Challenges - arXiv arxiv.org 10 facts
referenceJ. Portisch, G. Costa, K. Stefani, K. Kreplin, M. Hladik, and H. Paulheim authored 'Ontology Matching Through Absolute Orientation of Embedding Spaces,' which was published in the proceedings of the 2022 ESWC Satellite Events.
claimOntology and schema matching is a key prerequisite for integrating individual ontologies or knowledge graphs into an existing version of an overall knowledge graph.
referenceY. Zhang et al. proposed an ontology matching method utilizing word embeddings, presented at the 13th China National Conference on Chinese Computational Linguistics and Natural Language Processing in 2014.
claimDictionaries and pre-trained word embeddings are used in ontology matching to capture semantic similarity between words that are not character-level similar.
referenceJ. Euzenat and P. Shvaiko authored the book 'Ontology matching', published by Springer in 2007.
claimTailored ontology matching approaches exist for knowledge graphs, such as mapping categories derived from Wikipedia to the Wordnet taxonomy to achieve an enriched knowledge graph ontology.
claimOntology and schema matching is a necessary step for data integration when consolidating information from multiple heterogeneous sources, involving the identification of corresponding elements between ontologies or schemas.
referenceZhang et al. investigated the use of Word2Vec word embeddings for the task of ontology matching.
claimOntology and schema matching approaches typically rely on determining element similarity using strategies such as comparing concept or property names, comparing instance values, or analyzing structural information like graph neighborhoods.
claimExisting benchmarks for knowledge graph construction are currently limited to individual tasks such as knowledge extraction, ontology matching, entity resolution, and knowledge graph completion.
Applying Large Language Models in Knowledge Graph-based ... arxiv.org Jan 7, 2025 1 fact
referenceHertling, S. and Paulheim, H. published 'Olala: Ontology matching with large language models' in the proceedings of the 12th Knowledge Capture Conference in 2023.