Computer Engineering and Applications ›› 2013, Vol. 49 ›› Issue (5): 127-131.
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WANG Min, ZHOU Zhurong
Online:
Published:
王 敏,周竹荣
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
WANG Min, ZHOU Zhurong. Context search based on faceted ontology[J]. Computer Engineering and Applications, 2013, 49(5): 127-131.
王 敏,周竹荣. 基于面本体的情境搜索研究[J]. 计算机工程与应用, 2013, 49(5): 127-131.
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http://cea.ceaj.org/EN/Y2013/V49/I5/127