首页    期刊浏览 2024年07月06日 星期六
登录注册

文章基本信息

  • 标题:A Semantic Vector Retrieval Model for Desktop Documents
  • 本地全文:下载
  • 作者:Sheng Li
  • 期刊名称:Journal of Software Engineering and Applications
  • 印刷版ISSN:1945-3116
  • 电子版ISSN:1945-3124
  • 出版年度:2009
  • 卷号:2
  • 期号:1
  • 页码:55-59
  • DOI:10.4236/jsea.2009.21009
  • 出版社:Scientific Research Publishing
  • 摘要:The paper provides a semantic vector retrieval model for desktop documents based on the ontology. Comparing with traditional vector space model, the semantic model using semantic and ontology technology to solve several problems that traditional model could not overcome such as the shortcomings of weight computing based on statistical method, the expression of semantic relations between different keywords, the description of document semantic vectors and the similarity calculating, etc. Finally, the experimental results show that the retrieval ability of our new model has significant improvement both on recall and precision.
  • 关键词:Semantic Desktop; Information Retrieval; Ontology; Vector Retrieval Model
国家哲学社会科学文献中心版权所有