摘要
针对目前的搜索模型局限于语法层次上关键词匹配的特点,以领域本体作为知识组织方式,提出了一种语义环境下基于本体的信息搜索模型.在此模型的基础上,分别提出了文档语义标注算法和搜索词语义扩展算法,两种算法分别对文档集语义分析和搜索词语义关系理解,实现双向语义信息搜索的目的.实验结果表明,提出的信息搜索方法能够克服关键词匹配搜索的不足。
The current existing search model is mainly limited to syntax-based keyword matching. By establishing domain ontology, as the way of knowledge organization, this paper introduces a novel information search model based on domain ontology in semantic context. Then, document semantic annotation algorithm (DRSAA) and keyword semantic expansion algorithm (KSEA) are presented. These two algorithms are utilized to analyze semantics of document set and comprehend semantic relations of user keyword respectively, which realizes the objective of bidirectional semantic information search. At last, extensive experimental results demonstrate that the proposed information search method can overcome disadvantages of keyword-based search and improve the search results.
出处
《同济大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2009年第4期545-549,共5页
Journal of Tongji University:Natural Science
基金
国家自然科学基金资助项目(70771077)
国家"八六三"高技术研究发展计划资助项目(2008AA04Z106)
关键词
信息搜索模型
领域本体
语义标注
扩展搜索
information search model
domain ontology
semantic annotation
expansion search