UMLS to DBPedia link discovery through circular resolution | Zendy

John Cuzzola | Zendy; Ebrahim Bagheri | Zendy; Jelena Jovanović | Zendy

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UMLS to DBPedia link discovery through circular resolution

Author(s) -

John Cuzzola,

Ebrahim Bagheri,

Jelena Jovanović

Publication year - 2018

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocy021

Subject(s) - unified medical language system , computer science , information retrieval , annotation , set (abstract data type) , simple knowledge organization system , natural language processing , ontology , thesaurus , artificial intelligence , semantic web , rdf , sparql , philosophy , epistemology , programming language

The goal of this work is to map Unified Medical Language System (UMLS) concepts to DBpedia resources using widely accepted ontology relations from the Simple Knowledge Organization System (skos:exactMatch, skos:closeMatch) and from the Resource Description Framework Schema (rdfs:seeAlso), as a result of which a complete mapping from UMLS (UMLS 2016AA) to DBpedia (DBpedia 2015-10) is made publicly available that includes 221 690 skos:exactMatch, 26 276 skos:closeMatch, and 6 784 322 rdfs:seeAlso mappings.

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