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Research on Domain Ontology-based Intelligent Information Retrieval System

机译：基于领域本体的智能信息检索系统研究

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Domain ontology introduces a new theory and method for information retrieval. In this paper, we analyze the deficiencies of traditional information retrieval and explore the relationship between domain ontology and information retrieval, as well as the basic design ideas of information retrieval based on domain ontology. Finally we present a domain ontology-based intelligent information retrieval system, so that the information retrieval can be promoted from the keyword level to the semantic level.rnWith the rapid development of the national economy and the growth of information resources, traditional methods relying on the browser, database fields, keyword matching, or even manual retrieval query has become increasingly difficult to meet people's information retrieval needs. How to quickly and accurately identify the needed information resources has become a urgent question in front of us.rnInformation retrieval is a technology which can find out the relevant information the user needs from a collection of large amounts of information. It has experienced manual retrieval, computer retrieval stage, now it has developed to the network and intelligent stage. The objects of information retrieval extend from a relative closed, stable and consistent, centrally managed information content by an independent database to an open, dynamic, quickly update, widely distributed, and loosely managed web content; the users of information retrieval also spread from professional intelligence agent to the common including government officials, businessmen, managers, teachers, students, professionals, etc. They ask for the higher and more diverse requirements from the results to the manner of information retrieval. Adapting to the need for network, intelligence and personalization is a new trend of information retrieval technology.
机译：领域本体引入了一种新的信息检索理论和方法。本文分析了传统信息检索的不足，探讨了领域本体与信息检索之间的关系，以及基于领域本体的信息检索的基本设计思想。最后，我们提出了一种基于领域本体的智能信息检索系统，可以将信息检索从关键词层次提升到语义层次。随着国民经济的飞速发展和信息资源的增长，传统的信息检索方法越来越受到人们的关注。浏览器，数据库字段，关键字匹配甚至手动检索查询已变得越来越难以满足人们的信息检索需求。如何快速，准确地识别所需的信息资源已经成为摆在我们面前的紧迫问题。信息检索是一种可以从大量信息中找到用户所需的相关信息的技术。它经历了手动检索，计算机检索阶段，现已发展到网络化和智能化阶段。信息检索的对象从一个独立的数据库从相对封闭，稳定和一致的集中管理信息内容扩展到一个开放，动态，快速更新，广泛分发和松散管理的Web内容；信息检索的用户也从专业情报人员传播到包括政府官员，商人，经理，教师，学生，专业人员等在内的普通人群。他们要求从结果到信息检索方式的更高，更多样化的要求。适应网络，智能和个性化的需求是信息检索技术的新趋势。

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