Mining concepts from Wikipedia for ontology construction

Gaoying Cui; Qin Lu; Wenjie Li; Yirong Chen

doi:10.1109/WI-IAT.2009.284

Mining concepts from Wikipedia for ontology construction

Gaoying Cui, Qin Lu, Wenjie Li, Yirong Chen

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

15 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009
Pages	287-290
Number of pages	4
Volume	3
DOIs	https://doi.org/10.1109/WI-IAT.2009.284
Publication status	Published - 1 Dec 2009
Event	2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009 - Milano, Italy Duration: 15 Sept 2009 → 18 Sept 2009

Conference

Conference	2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009
Country/Territory	Italy
City	Milano
Period	15/09/09 → 18/09/09

Keywords

Concept
Ontology construction
Wikipedia

ASJC Scopus subject areas

Computer Networks and Communications
Software

More information

10.1109/WI-IAT.2009.284

http://hdl.handle.net/10397/5200

Cite this

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title = "Mining concepts from Wikipedia for ontology construction",

abstract = "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.",

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author = "Gaoying Cui and Qin Lu and Wenjie Li and Yirong Chen",

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Cui, G, Lu, Q, Li, W & Chen, Y 2009, Mining concepts from Wikipedia for ontology construction. in Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009. vol. 3, 5285031, pp. 287-290, 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009, Milano, Italy, 15/09/09. https://doi.org/10.1109/WI-IAT.2009.284

Mining concepts from Wikipedia for ontology construction. / Cui, Gaoying; Lu, Qin; Li, Wenjie et al.
Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009. Vol. 3 2009. p. 287-290 5285031.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Mining concepts from Wikipedia for ontology construction

AU - Cui, Gaoying

AU - Lu, Qin

AU - Li, Wenjie

AU - Chen, Yirong

PY - 2009/12/1

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N2 - 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.

AB - 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.

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KW - Ontology construction

KW - Wikipedia

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M3 - Conference article published in proceeding or book

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EP - 290

BT - Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009

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Y2 - 15 September 2009 through 18 September 2009

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Mining concepts from Wikipedia for ontology construction

Abstract

Conference

Keywords

ASJC Scopus subject areas

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