摘要
针对基于关键字的搜索引擎缺乏语义的问题,提出了一种面向专业领域的语义搜索引擎模型。以领域本体形式化描述为基础,构建本体语义框架,进而给出语义搜索模型。在模型中,以概念、概念-实例以及关键字等3种扩展特征项作为基础,对查询扩展算法和文档语义标注算法进行了研究,并且构建了语义索引,通过引入向量空间模型判定扩展检索词与语义文档的相似度。实验结果表明,该模型较传统模型较大提高了检索的查准率和查全率。
Aiming at the problems of the lack of semantic in
出处
《计算机工程与设计》
CSCD
北大核心
2012年第5期1801-1805,共5页
Computer Engineering and Design
基金
国家自然科学基金项目(61005017)
关键词
搜索引擎
语义索引
查询扩展
语义标注
领域本体
based search engines
a semantic search engine model is proposed.With the formal description of domain ontology
the ontology semantic frame is built
and the semantic search model is presented.In this model
concept
concept-instance and keyword are used as three feature items as the basis of the semantic query expansion algorithm and document annotation algorithm
and the semantic index is built.The similarity between expanded words and the semantic document is determined by vector space model.The experiment with data from an university news report shows that this model is of large improvement in precision and recall
compared with the traditional model. Key words：search engine
semantic indexing
query expanding
semantic annotation
domain ontology
