Difference between revisions of "Mining Concepts from Wikipedia for Ontology Construction"
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| − | '''Mining Concepts from Wikipedia for Ontology Construction''' - scientific work related to Wikipedia quality published in 2009, written by Gaoying Cui, Qin Lu, Wenjie Li and Yirong Chen. | + | '''Mining Concepts from Wikipedia for Ontology Construction''' - scientific work related to [[Wikipedia quality]] published in 2009, written by [[Gaoying Cui]], [[Qin Lu]], [[Wenjie Li]] and [[Yirong Chen]]. |
== Overview == | == Overview == | ||
| − | 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. | + | 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. |
Revision as of 10:05, 4 September 2019
Mining Concepts from Wikipedia for Ontology Construction - scientific work related to Wikipedia quality published in 2009, written by Gaoying Cui, Qin Lu, Wenjie Li and Yirong Chen.
Overview
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.
