Mining Concepts from Wikipedia for Ontology Construction

An ontology is a structured knowledgebase of concepts organized by relations among them. But concepts are usually mixed with their instances in the corpora for knowledge extraction. Concepts and their corresponding instances share similar features and are difficult to distinguish. In this paper, a n...

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Veröffentlicht in:Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03 Jg. 3; S. 287 - 290
Hauptverfasser: Cui, Gaoying, Lu, Qin, Li, Wenjie, Chen, Yirong
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: Washington, DC, USA IEEE Computer Society 15.09.2009
IEEE
Schriftenreihe:ACM Conferences
Schlagworte:
Collaboration
Computing methodologies > Artificial intelligence > Knowledge representation and reasoning
Computing methodologies > Artificial intelligence > Knowledge representation and reasoning > Semantic networks
Computing methodologies > Artificial intelligence > Natural language processing
Computing methodologies > Machine learning > Machine learning approaches > Rule learning
Concept
Conferences
Information science
Information systems > Information retrieval
Information systems > Information retrieval > Evaluation of retrieval results
Information systems > Information systems applications > Data mining
Intelligent agent
Intelligent structures
Ontologies
Ontology Construction
Search engines
Statistics
Taxonomy
Wikipedia
Concept
Wikipedia
Ontology Construction
ISBN:0769538010, 9780769538013
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:An ontology is a structured knowledgebase of concepts organized by relations among them. But concepts are usually mixed with their instances in the corpora for knowledge extraction. Concepts and their corresponding instances share similar features and are difficult to distinguish. In this paper, a novel approach is proposed to comprehensively obtain concepts with the help of definition sentences and Category Labels in Wikipedia pages. N-gram statistics and other NLP knowledge are used to help extracting appropriate concepts. The proposed method identified nearly 50,000 concepts from about 700,000 Wiki pages. The precision reaching 78.5% makes it an effective approach to mine concepts from Wikipedia for ontology construction.
ISBN:0769538010
9780769538013
DOI:10.1109/WI-IAT.2009.284