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基于本体的智能信息检索研究

Study of Intelligent Information Retrieval Using Ontology

【作者】 张明

【导师】 袁方;

【作者基本信息】 河北大学 , 计算机应用技术, 2007, 硕士

【摘要】 随着计算机技术和Internet的迅猛发展,全球信息化时代已经到来,各类信息急剧增长。在传统的信息检索方式下,由于信息资源缺少统一的语义描述,用户越来越难以找到与要求相关的信息。如何使检索具有智能化,并且提高检索的效率以达到提高信息资源利用率的目的,是信息检索领域所面临的挑战。本体(Ontology)的概念最初起源于哲学领域,如今在计算机的许多领域得到了广泛的应用。领域本体是对某领域中的概念和关系的描述,借此使计算机能够了解被检索资源的语义信息,促进知识共享。本文通过对传统信息检索的基本原理、信息检索的分类、信息检索发展现状和传统信息检索方式存在的问题等方面的分析研究,结合本体的特点,提出了基于本体的智能信息检索体系框架,并详细描述了智能信息检索系统的设计思想和系统框架模型。本文同时对智能信息检索系统中所采用的关键技术进行了深入的分析研究,为智能检索的实验奠定了良好的基础,这些关键技术主要包括:领域本体的构造、数据存储、语义推理和检索结果的排序等。在理论分析的基础上,进行了智能信息检索系统的实验,开发了基于本体的智能文献检索实验系统,系统以计算机领域的论文为检索对象,构造了相应的领域本体——文献本体和计算机领域语义词典本体,从而解决了检索中缺乏语义信息的问题,使检索智能化,相对于传统的基于关键词的检索方式提高了查全率、查准率和语义相关率。

【Abstract】 With the rapid development of Internet and computer technology, globle information era has come, and all kinds of information have been increasing rapidly. However, It is more and more difficult to users to find out the information relevant to their needs, due to the lack of uniform semantic description of the information sources with traditional information retrieval. Hence, the challenges in information retrieval are how to intellectuallize the retrieval and how to improve the retrieval efficiency to meet the purpose of increasing the availability of the information sources.The concept of Ontology derived from philosophy at first, which is commonly employed in many computer fields now. Domain ontology is a description of the concepts and relations in the field. It enables the computers to understand the semantic meanings of the retrieved sources, promoting the sharing of knowledge.After researching the basic theory of traditional information retrieval, the sorts of information retrieval, the contemporary development of information retrieval, arid the existing problems in traditional information retrieval, and considering the traits of ontology, the paper propose the frame of intellectualized information retrieval using Ontology, and elaborates the design ideas and system frame model of intelligent information retrieval system.The paper makes a profound analysis and research of the key techniques in the intelligent information retrieval system, providing a sound basis for the experiments about intelligent retrieval. These key techniques include the ontology construction, data storage, semantic inference and sort of retrieval result set.Based on the theoretical analysis, the paper conducts experiments on the intelligent retrieval system, developing experiment system of the intelligent retrieval using Ontology. With the papers in the computer field as the retrieved objects, the system constructs the corresponding domain ontology---paper ontology and semantic dictionary ontology, solving the lack of semantic information in retrieval, then intellectuallizing the retrieval, which can improve Recall and Precision and Semantics relative to the traditional retrieval based on key words.

  • 【网络出版投稿人】 河北大学
  • 【网络出版年期】2011年 S1期
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