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Research on Semantic Relatedness of Domain-specific Concepts Based on Chinese Wikipedia
Received date: 2014-10-10
Revised date: 2014-11-20
Online published: 2014-12-05
In order to improve the accuracy of computing the relatedness of the domain-specific concepts, this paper proposes a new semantic relatedness algorithm using Chinese Wikipedia category architecture and concept interpretation content. The concepts in library and information science in concept-hierarchy of Chinese Wikipedia are taken as experiment objects, and weighted algorithm based on category and text information are compared with other algorithms only based on Chinese Wikipedia category like Relwup and Relseco or on Chinese Wikipedia article like Relstr. The experimental results show that the weighted algorithm is better than the others, and provide important technical support for application such as domain-oriented information retrieval, construction of domain ontology and so on.
Wang Juan , Cao Shujin , Jiang Lingmin , Hu Qing . Research on Semantic Relatedness of Domain-specific Concepts Based on Chinese Wikipedia[J]. Library and Information Service, 2014 , 58(23) : 136 -142 . DOI: 10.13266/j.issn.0252-3116.2014.23.021
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