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。
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.
出处
《图书情报工作》
CSSCI
北大核心
2012年第4期17-21,40,共6页
Library and Information Service
基金
教育部人文社会科学项目"高校专家知识地图构建研究"(项目编号:10YJC870022)研究成果之一
关键词
本体
领域概念
专长表示
语义相似度
ontology
domain concept
expertise representation
semantic similarity
