【作者】 孙红雨；

【导师】 郭银景；

【作者基本信息】 山东科技大学 ， 信号与信息处理， 2008， 硕士

【摘要】 随着网络时代的到来,人们可以获得的信息量迅速膨胀,为人们查找、获取有用的信息提供了丰富的信息源,为了充分利用这些丰富的信息源,世界各国都在进行知识工程的研究。本文首先深入探讨本体的应用,国内外研究现状,以及本体与语义Web的关系。在系统介绍和分析了本体论构建理论的基础上,使用目前在国际上性能比较完善的本体论构建和维护工具Protégé,进行了本论文的研究工作。在本系统中以W3C标准中的OWL语言作为本体的描述语言实现对本体的描述,以RDF/RDFS作为资源标记语言实现对数据的语义化标注,实现了针对医学领域知识的本体推理和数据查询,成功地实现了语义化的信息查询工具。本文在医学信息检索领域引入本体技术以提高检索质量,构建了心脏病小型医学领域本体。在领域本体的基础上,提出一种基于本体的医学信息检索系统框架。在基于医学领域本体库的检索应用原型系统的构建过程中,本文借鉴了相关度计算和基于Jena的查询等技术,弥补了传统关键词检索系统的不足,从而使系统在查准率和查全率上有了更好的保证。更多还原

【Abstract】 With the advent of the internet, the volume of information has expanded at a prodigious rate. It provides people a rich source of information for finding and acquiring useful information. In order to make full use of rich source of information, many countries are researching in knowledge engineering.At first, the concept of ontology, current situation of ontology research at home and abroad, and ontology in semantic Web are discussed. Then based on the introduction of ontology theory ,the author used Protege, the construction and maintenance tool of ontology, designed and completed the medical ontology prototype. In this system, W3C standard OWL was chosen as the OWL description language, RDF/RDFS as the semantic labeling language, Ontology reasoning and data query function was realized in this system, and a semantic querytool was successfully implemented.The ontology technology was introduced into medical information retrieval for improving the search quality. It took heart disease as an example to construct a small medical ontology and proposed a framework of ontology-based medical intelligent information retrieval. During the construction of the prototype system, this paper used several technologies such as correlation degree and Jena-based query for reference. This made up for the flaw of the traditional keywords-based information retrieval system. It is better at integrality and precision of the retrieval result.更多还原