摘要： 针对传统的基于关键词信息检索方式存在的问题，提出一种基于领域本体的语义检索模型，在建立本体概念与文档内容关联关系的基础上，对用户的查询输入预处理，利用本体计算两者的相似程度，给出与查询请求相关的排序后的文档。通过搭建基于本体的Web智能检索原型系统，验证了该模型的有效性。
关键词:
本体,
智能检索,
查询扩展,
相似度计算
Abstract: Aiming at the problem of traditional information retrieval based on key words, a domain ontology-based semantic information retrieval model is proposed. On the basis of establishing the relationship between the ontology concept and the content of document, pre-processes the user’s query, calculates the similarity using domain ontology, and shows the sorted relative documents corresponding to the query. The built Web-based intelligent retrieval prototype validates the effectiveness of the model preliminarily.
Key words:
ontology,
intelligent retrieval,
query expansion,
similarity calculation
中图分类号:
尹焕亮;孙四明;张 峰. 基于本体的Web智能检索研究[J]. 计算机工程, 2009, 35(23): 44-46,4.
YIN Huan-liang; SUN Si-ming; ZHANG Feng. Research of Web Intelligent Retrieval Based on Ontology[J]. Computer Engineering, 2009, 35(23): 44-46,4.