Web-based多数据源集成系统的研究

发布时间：2018-06-21 05:53

本文选题：Information + integration　；参考：《计算机科学》2002年09期

【摘要】：正 1 引言多数据源信息集成系统是近年来数据库界和人工智能界研究的热点。在复杂的数据库应用环境中,如CIMS、DSS、IQ＆AS、DW等,各种数据往往分布在多个不同源系统上,如数据库系统、文件系统.以及Web系统。随着时间的推移,这些源系统的数据量将越来越大,尤其是Web上的数据可以说是无序性的。如果让用户直接到杂乱无章的数据海洋中查找有用的信息,是不切实际的,但这样的应用需求却日益紧迫。在这种形势下,多数据源系统应运而生,它的主要目的是为了让不同的数据源协同工作,为用户提供比较自然的查询界面,使他们能方便地访问所需要的信息。这种形式的信息获取与通常的搜索引擎不同,后者仅能让用户按关键字或其它特征值从多数据源中找到相关的信息,而前者则能接受用户比较复杂的查询,系统通过对各个数据源集成处理,并将各个数据源的查询结果加以综合,返回给用户。
[Abstract]:Introduction to the introduction of multi-data source information integration system is a hot spot in the field of database and artificial intelligence in recent years. In complex database application environments, such as CIMS / DSSN / IQ & ASDW, all kinds of data are often distributed on many different systems, such as database systems and file systems. And Web system. With the passage of time, the data of these source systems will be more and more large, especially the data on the Web can be said to be disordered. It would be impractical to ask users to search for useful information directly in the cluttered ocean of data, but the need for such applications is becoming increasingly urgent. In this situation, multi-data source system emerges as the times require, its main purpose is to let different data sources work together, to provide users with a more natural query interface, so that they can easily access the information they need. This form of information acquisition is different from the usual search engine, which only allows users to find relevant information from multiple data sources by keyword or other eigenvalues, while the former can accept more complex queries from users. The system integrates each data source and synthesizes the query results of each data source and returns them to the user.
【作者单位】：东南大学计算机系东南大学计算机系东南大学计算机系东南大学计算机系
【分类号】：TP393.09

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