多源异构信息集成技术研究与分析

计算机技术迅猛发展,随之而来的信息呈指数级爆炸式增长,不同的数据处理和存储方式使得这些海量信息在不同层次上产生了异构。这些异构数据相互之间难以共享和互操作。传统的数据集成方法已经不能适应企业获取信息的需求,虽然在形式上实现了异构数据的集成,在进行数据共享和互操作时存在很多不足:检索得到的共享数据冗余多,无效信息多。为了克服基于结构的异构数据集成存在的不足,本文提出基于构建领域本体模型,利用本体来获取某一领域的知识,描述该领域的概念,以及这些概念之间的关系,从而解决异构数据的语义异构,实现异构数据的语义共享与互操作^([1])。

With the rapid development of computer technology, the information that ensued is increasing exponentially, and the different data processing and storage methods make the mass information heterogeneous at different levels. These heterogeneous data are difficult to share and interoperate with each other. Traditional data integration methods can no longer meet the needs of enterprises to acquire information, and urgently need a new heterogeneous data integration system. there are many shortcomings in data sharing and interoperation: retrieval. The shared data is redundant and invalid. In order to overcome the shortcomings of heterogeneous data integration based on structure, this paper proposes a domain ontology model based on construction domain, which uses ontology to obtain knowledge in a certain field, describes the concept of the domain, and the relationship between these concepts, so as to solve the semantic heterogeneity of heterogeneous data and realize the semantic sharing and mutual information of heterogeneous data. Operation.