【作者】 刘海滨；

【导师】 李冠宇；

【作者基本信息】 大连海事大学 ， 计算机应用技术， 2006， 硕士

【摘要】 随着互联网和信息技术的迅速发展,存贮在各种信息系统中的信息资源通过网络互连,形成了巨大的网络信息空间;同时信息资源也愈来愈呈现出异构、海量、动态的分布特点,这些变化为信息集成研究带来了新的挑战。传统的集成方法只能在结构层次上集成异构信息,而对于信息的语义失配、异构问题则无能为力,造成大量对用户有价值的信息没有被利用。本文引入本体来实现异构信息在概念层次上的集成,挖掘其在语义上有价值的隐含信息,解决了信息集成中的语义异构问题,弥补了结构化集成方法在处理语义问题的不足。 本文首先讨论了当前信息集成方法及其存在的一些问题,介绍了本体的相关概念、本体在信息集成中的应用方式以及本体映射的建立。 提出了一种基于本体的信息集成架构,实现对异构信息源的语义集成。 接着介绍了本体及映射的建立,即抽取各个数据源的模式信息建立相应局部本体,在局部本体的基础上建立全局本体,同时定义全局本体与局部本体、局部本体与数据源之间的映射。 接着提出了基于本体的语义查询,根据对全局本体的推理结果进行查询语句的分解,生成针对不同数据源的查询语句以实现统一访问。 然后,介绍了原型系统的实现情况:包括关键技术的选择、关键接口和方法介绍、用户界面以及系统测试情况等。更多还原

【Abstract】 With the rapid development of Internet and information technology,the information resources stored in various information systems connect by network, which forms the huge network information spaces.At the same time the distributing characteristic of these information resources becomes more and more heterogenous, magnanimous and dynamic.These changes bring great challenge to information integration research. The traditional integration method can only integrade heterogenous information in structural level and has nothing to do with the problem of semantic mismatch and heterogeneity of information which make a great deal of valuable information useless to user.Ontology is introduced in this dissertation to realize the information integration in conceptual level and mine the valuable semantic implicit information.This method resolves the problem of semantic heterogeneity during information integration and remedys the shortage of structural integration method dealing with the semantic problem.Firstly, the dissertation discusses some problems in current information integration methods,introduces the concept of ontology,the applying approachs of ontology in information integration and the build of ontology mapping.Secondly,an ontology-based information integration architecture which realizes semantic integration on heterogenous information sources is introduced.Then how to build the ontology and how to set up the mapping are introduced.Next,the ontology-based semantic query are introduced.The query statement based on the result of reasoning global ontology is decomposed to produce the query statements on diferent data sources to realize the goal of unified visit.Then the implementation of prototype system is introduced,including the choice of key techlology,the introduction of key interfaces and methods,UI and system test-更多还原