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New Technology of Library and Information Service  2006, Vol. 1 Issue (2): 43-45    DOI: 10.11925/infotech.1003-3513.2006.02.10
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Concept Extraction in Automatic OntologyConstruction Using Words Cooccurrence
Geng Qian   Geng Chong
(School of Management, Beijing Normal University, Beijing 100875, China)
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As a large semantic knowledge resource, Ontology plays an important role in information processing. However, how to construct an effective Ontology is an important problem to its application. The first issue in automatic Ontology creation is domain concepts acquisition. In this article we experiment on a method to obtain domain concepts which are based on lexical cooccurrence (and then to support the automatic Ontology construction). The first step of this method is to obtain the primary starting concepts by manual analysis, and then to extract relative co-occurrence concepts from the corpus. Based on the corpus of People’s Daily, January 1998, the article focuses especially on the fields of sports and diplomacy. We extract the relative concepts, to examine the practical results of co-occurrence-based domain concepts acquisition.

Key wordsLexical co-occurrence      Concept extraction      Ontology construction     
Received: 27 October 2005      Published: 25 February 2006


Corresponding Authors: Geng Chong     E-mail:
About author:: Geng Qian,Geng Chong

Cite this article:

Geng Qian,Geng Chong. Concept Extraction in Automatic OntologyConstruction Using Words Cooccurrence. New Technology of Library and Information Service, 2006, 1(2): 43-45.

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