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基于本体概念的专长表示研究
引用本文:胡月红,刘萍.基于本体概念的专长表示研究[J].图书情报工作,2012,56(4):17-40.
作者姓名:胡月红  刘萍
作者单位:武汉大学信息资源研究中心
基金项目:教育部人文社会科学项日
摘    要:传统的专家识别系统大多采用一组带权重的关键词来表征专家的专长,然而这种基于关键词的专长描述不足以概括专家的研究主题。提出基于领域本体概念的专长表示方法,通过构建相应的领域本体来描述领域核心概念和概念间关系,利用谷歌距离来计算关键词到本体概念的语义相似度,完成关键词到概念的映射,从而得到基于本体概念的专长表示。

关 键 词:本体  领域概念  专长表示  语义相似度  
收稿时间:2011-10-25
修稿时间:2011-12-23

An Ontology Based Approach for Expertise Representation
Hu Yuehong Liu Ping.An Ontology Based Approach for Expertise Representation[J].Library and Information Service,2012,56(4):17-40.
Authors:Hu Yuehong Liu Ping
Institution:Center for Studies of Information Resources, Wuhan University,
Abstract:In the existing experts identification system,the expertise is often described by a set of weighted keywords.However this keyword based expertise profile is not sufficient to catch the research topic of experts.An ontology-based expertise representation method is proposed.Firstly the domain ontology is built to define the key concepts and relationships between them,and then semantic similarity between words is calculated using Google Distance.Based on this semantic similarity the keywords are mapped into domain concepts and concept-based expertise representation can be obtained.
Keywords:ontology  domain concept  expertise representation  semantic similarity
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