期刊文献+

基于本体的面向股票领域的检索系统研究

Research on information retrieval system oriented for stock based on ontology
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摘要 在传统的信息检索系统中,用户只能通过诸如关键词匹配等方法实现一般的概念查询,这使得查询结果中出现大量与用户查询相关度低甚至无关的内容。本文将本体技术运用到传统检索系统中,提出基于本体的信息检索模型框架,列举相关的各项技术,利用反映概念之间关系的领域本体指导主题标引,利用反映实体之间关系的领域本体指导实体关系标引,并以本体的形式表示文档替代物和查询表达式,该方法可以进一步提高文本信息检索系统的性能。 In the traditional information retrieval system, users can only make use of the method just like keyword-matching and so on to realize common concept-inquiry, and this method leads to a lot of results which have lower or even no relationships with the inquiries of users. In this paper, a new method which takes advantage of the ontology technology in traditional information retrieval system is proposed, and it shows that ontology which reflects the relationships between entities can improve the performance of information retrieval system. Experiments results can validate this approach should be more effective in improving retrieval performance.
出处 《电子测量技术》 2007年第5期110-113,共4页 Electronic Measurement Technology
关键词 本体 0WL 语义网 信息检索 知识库 ontology OWL semantic web information retrieval knowledge base
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