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The Technology of Intelligent Information Retrieval Based on the Semantic Web

机译:基于语义网的智能信息检索技术

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Traditional information retrieval systems lack a uniform semantic description for information, so it is hard for users to find more relevant information and to realize the semantic share in information resource. There are many challenging tasks for information retrieval, sucb as how to make the managed resource have a machine understandable meaning so as to find what users really need and how to realize the semantic searching by means of the domain knowledge. A framework of intelligent retrieve based on semantic Web is proposed in this paper through researching the Semantic Web and analyzing the feature of traditional retrievals in Web. The design idea and process of the intelligent information retrieval system in detail are also described. It is provided in this framework that the unique identifier for every resource on World Wide Web and various types of links among resources which can be handled by computers. The retrieval system is intelligent and humanistic, which can not only improve the recall rate and precision rate, but also allows users to search information with natural language, so it provides more convenient and more accurate search service for users.
机译:传统的信息检索系统缺乏统一的信息语义描述,用户难以找到更多相关信息,难以在信息资源中实现语义共享。信息检索有许多艰巨的任务,例如如何使被管理资源具有机器可理解的含义,从而找到用户真正需要的内容以及如何通过领域知识来实现​​语义搜索。通过研究语义网,分析Web中传统检索的特点,提出了一种基于语义网的智能检索框架。还详细描述了智能信息检索系统的设计思想和过程。在该框架中提供了万维网上每个资源的唯一标识符以及计算机可以处理的资源之间的各种类型的链接。该检索系统智能化,人性化,不仅可以提高查全率和查准率,还可以使用户以自然语言进行信息检索,为用户提供了更加便捷,准确的搜索服务。

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