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Extracting semantic concept relations from Wikipedia
Abstract Background knowledge as provided by reposiBackground knowledge as provided by repositories such as WordNet is of critical importance for linking or mapping ontologies and related tasks. Since current repositories are quite limited in their scope and currentness, we investigate how to automatically build up improved repositories by extracting semantic relations (e.g., is-a and part-of relations) from Wikipedia articles. Our approach uses a comprehensive set of semantic patterns, finite state machines and NLP-techniques to process Wikipedia definitions and to identify semantic relations between concepts. Our approach is able to extract multiple relations from a single Wikipedia article. An evaluation for different domains shows the high quality and effectiveness of the proposed approach.nd effectiveness of the proposed approach.
Abstractsub Background knowledge as provided by reposiBackground knowledge as provided by repositories such as WordNet is of critical importance for linking or mapping ontologies and related tasks. Since current repositories are quite limited in their scope and currentness, we investigate how to automatically build up improved repositories by extracting semantic relations (e.g., is-a and part-of relations) from Wikipedia articles. Our approach uses a comprehensive set of semantic patterns, finite state machines and NLP-techniques to process Wikipedia definitions and to identify semantic relations between concepts. Our approach is able to extract multiple relations from a single Wikipedia article. An evaluation for different domains shows the high quality and effectiveness of the proposed approach.nd effectiveness of the proposed approach.
Bibtextype inproceedings  +
Doi 10.1145/2611040.2611079  +
Has author Arnold P. + , Rahm E. +
Has extra keyword Information retrieval + , Natural language processing systems + , Semantics + , Thesauri + , Back-ground knowledge + , Different domains + , NAtural language processing + , Semantic concept + , Semantic pattern + , Semantic relations + , Wikipedia + , Wikipedia articles + , Semantic web +
Has keyword Background knowledge + , Information extraction + , Natural Language Processing + , Semantic relations + , Thesauri + , Wikipedia +
Isbn 9781450325387  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Published in ACM International Conference Proceeding Series +
Title Extracting semantic concept relations from Wikipedia +
Type conference paper  +
Year 2014 +
Creation dateThis property is a special property in this wiki. 6 November 2014 15:43:40  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 6 November 2014 15:43:40  +
DateThis property is a special property in this wiki. 2014  +
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