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 |
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| Hauptverfasser: | , , , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
Washington, DC, USA
IEEE Computer Society
15.09.2009
IEEE |
| Schriftenreihe: | ACM Conferences |
| Schlagworte: | |
| ISBN: | 0769538010, 9780769538013 |
| Online-Zugang: | Volltext |
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| 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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| AbstractList | 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. |
| Author | Cui, Gaoying Lu, Qin Li, Wenjie Chen, Yirong |
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| Keywords | Concept Wikipedia Ontology Construction |
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| Snippet | 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... |
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| SubjectTerms | 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 |
| Title | Mining Concepts from Wikipedia for Ontology Construction |
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