Ontology based intelligent information retrieval system
Ontology based intelligent information retrieval system
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DOI：
10.1109/ccece.2004.1345033
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发表时间：
2004-05
期刊：
影响因子：
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通讯作者：
Wenjie Li;Zhiyong Feng;Yong Li;Zhoujun Xu
中科院分区：
文献类型：
--
作者：
Wenjie Li;Zhiyong Feng;Yong Li;Zhoujun Xu
将本体的概念引入到信息检索系统中，提出了一种基于本体的智能信息检索系统的体系结构。构建了一个CAPP应用系统的局部领域本体知识库的层次树模型，采用DAML+OIL（DARPA Agent Markup Language and Ontology Interchange Language）对概念的语法、语义、属性和概念间关系进行了详细的标注。该体系结构通过基于信息语义的智能聚类算法和推理规则实现了本领域本体知识库的预处理和Internet上远程信息的自动获取，并根据用户的检索兴趣对用户的偏好数据库进行了逻辑管理。该系统满足了智能化信息检索的要求，进一步提高了信息检索的效率和精度。
The notion of ontology is introduced to information retrieval systems and an ontology-based architecture for an intelligent information retrieval system is presented. A hierarchical tree-model of a local domain ontological repository of a CAPP application system is constructed, in which DAML+OIL (DARPA agent markup language and ontology interchange language) is used to annotate in detail the syntax and semantics of concepts, their attributes and relations among concepts. Pretreatment of the local domain ontological repository and the automatic acquirement of remote information on the Internet are implemented by an information semantics-based intelligent clustering algorithm and inference rules in the architecture; the preference databases of users are managed logically according to their retrieval interests. Consequently, the system meets the requirement of intelligent information search, and further improves the efficiency and precision of information retrieval.