基于语义Web的检索系统研究

Junhua Qu, Chao Wei, Wenjuan Wang, Fei Liu
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引用次数: 5

摘要

目前,万维网是存储和共享数据的媒介。基于关键词匹配的搜索和基于内容分类的搜索是传统搜索的两种方法,但它们在处理指数增长数据时的性能并不理想。2001年为解决网络智能不足而提出的语义网概念,为检索提供了可行性解决方案。随着XML (Extensible Markup Language,可扩展标记语言)、RDF (Resource Description Framework,资源描述框架)和OWL (Web Ontology Language, Web本体语言)的改进以及语义Web[1]开发工具Jena的出现,语义Web应用可能成为现实。因此,结合语义Web技术和搜索引擎技术进行语义检索的概念应运而生,我们的目标是提出一种基于语义Web的系统架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on a Retrieval System Based on Semantic Web
currently, the World Wide Web is a medium for storing and sharing data. Search based on keyword matching and content classified are two methods of the traditional search, however, their performance of processing exponential growth data is unsatisfactory. The concept of the Semantic Web, which was proposed to solve the shortage of network intelligence in 2001, provided the feasibility solutions of retrieving. The Semantic Web application could become a reality since XML (Extensible Markup Language), RDF (Resource Description Framework) and OWL (Web Ontology Language) are improved and the emergence of Jena which is the Semantic Web [1] development tools. So the concept of semantic retrieval with Semantic Web technology and search engine technology comes up, we aim to propose a system Architecture based on Semantic Web.
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