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计算机工程 ›› 2007, Vol. 33 ›› Issue (04): 4-7. doi: 10.3969/j.issn.1000-3428.2007.04.002

• 博士论文 • 上一篇    下一篇

基于语义的大型人才库检索方法研究

谷文栋,夏国平,申建刚   

  1. (北京航空航天大学经济管理学院,北京 100083)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-02-20 发布日期:2007-02-20

Research on Retrieval Method for Large Talent Database Based on Semantic Web

GU Wendong, XIA Guoping, SHEN Jiangang   

  1. (School of Economics and Management, Beijing University of Aeronautics and Astronautioes, Beijing 100083)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-02-20 Published:2007-02-20

摘要: 高效率、高质量地进行人才库检索,对于我国的大型企业集团,尤其是水利水电施工企业集团来说意义重大。传统的分类目录和关键词查询方法,不能很好地满足企业的要求。该文采用语义Web中的相关技术,使用RDF语言描述人才库系统中的本体,并将用户的查询要求转化为语义信息,结合匹配度计算模型检索所需的人才,提出了一种基于本体的对大型人才库进行语义检索的方法,并举例说明了该方法的应用。

关键词: 语义网络, RDF, 本体, 匹配度

Abstract: Searching useful people from talent database effectively and efficiently is very important for large group corporations, especially for water conservancy and hydroelectric power operation corporations. However, traditional retrieval methods can not well satisfy their demands. This paper puts forward a retrieval method for large talent database based on ontology using semantic Web technology. RDF is applied to describe ontology in the database and transforms search conditions into semantic information. And match calculation model is used to search for people needed. An example is presented to illustrate the application of the method.

Key words: Semantic Web, RDF, Ontology, Match degree