计算机应用 ›› 2011, Vol. 31 ›› Issue (07): 1751-1755.DOI: 10.3724/SP.J.1087.2011.01751

• 数据库技术 • 上一篇    下一篇

带约束本体语义扩展的信息过滤算法

颜晶晶1,2   

  1. 1. 台州职业技术学院 计算机工程系,浙江 台州 318000
    2. 同济大学 电子与信息工程学院,上海 201804
  • 收稿日期:2011-01-04 修回日期:2011-02-25 发布日期:2011-07-01 出版日期:2011-07-01
  • 通讯作者: 颜晶晶
  • 作者简介:颜晶晶(1976-),女,浙江台州人,讲师,硕士,主要研究方向:语义网、信息过滤、数据挖掘。
  • 基金资助:

    国家自然科学基金资助项目

Mechanism of ontology semantic extension with constraints for information filtering

Jing-Jing YAN1,2   

  1. 1. Department of Computer Engineering,Taizhou Vocational and Technical College,Taizhou Zhejiang 318000,China
    2. School of Electronics and Information Engineering,Tongji University,Shanghai 201804,China
  • Received:2011-01-04 Revised:2011-02-25 Online:2011-07-01 Published:2011-07-01
  • Contact: Jing-Jing YAN

摘要: 提出一种基于本体的信息过滤方法。该方法通过本体实现形式化语义描述,并对原始输入条件进行带约束规则的本体语义扩展。进而为了实现语义匹配,给出了信息向量语义描述及权重计算方法。最终,实现基于语义相似度计算的信息过滤。实验证明,该方法是有效的。

关键词: 本体, 语义扩展, 约束, 信息过滤, 相似度计算

Abstract: An ontology based information filtering method is proposed in this paper. This approach describes formal semantic through ontology so that user’s original input query terms can be converted into ontology semantic extension formats with constraint rules. Furthermore, semantic vector definition of information and its right computation method are presented in order to achieve the semantic matching between user’s requirements and information. Finally, semantic similarity computation based information filtering is addressed. Experiments show that our information filtering algorithm is effective.

Key words: ontology, semantic extension, constraint, information filtering, similarity computation

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