基于面本体的情境搜索研究  

Context search based on faceted ontology

作　　者：王敏[1] 周竹荣[1] 

机构地区：[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

出　　处：《计算机工程与应用》2013年第5期127-131,135,共6页Computer Engineering and Applications

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。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.

关 键 词：面本体 情境本体 情境搜索 相似度洪泛算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]