基于面本体的情境搜索研究

Context search based on faceted ontology

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.