Computer Engineering and Applications ›› 2013, Vol. 49 ›› Issue (5): 127-131.

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Context search based on faceted ontology

WANG Min, ZHOU Zhurong   

  1. Department of Computer Science and Technology, Institute of Computer and Information Science, Southwest University, Chongqing 400715, China
  • Online:2013-03-01 Published:2013-03-14

基于面本体的情境搜索研究

王  敏,周竹荣   

  1. 西南大学 计算机与信息科学学院 计算机科学与技术系,重庆 400715

Abstract: This paper describes a new model based on the faceted-ontology, FOCS, for performing search in context. In the model, the keywords inputted by users are semantic expansion by context-ontology and the related search-ontology is produced. And it annotates all kinds of heterogeneous documents by faceted-ontology. The realization of context search is mapping search-ontology and faceted-ontology by the similarity flooding algorithm. The experimental results show the FOCS is better than the traditional search in the facets of recall and precision.

Key words: faceted ontology, context ontology, context search, similarity flooding algorithm

摘要: 为了将用户的搜索过程与用户当前情境相关联,提出一种基于面本体的情境搜索模型(Faceted Ontology-based Context Search,FOCS)。FOCS根据情境本体对用户输入的关键字进行语义扩展,生成相应的搜索本体。通过面本体标注各类异构文档,利用洪泛相似度算法进行搜索本体与面本体的本体匹配,实现情境搜索。实验结果表明,提出的方法应用于搜索引擎,与传统的信息搜索比较,具有更好的查全率与查准率。

关键词: 面本体, 情境本体, 情境搜索, 相似度洪泛算法