NDLI: Matching schemas of heterogeneous relational databases

Content Provider	IEEE Xplore Digital Library
Author	Karasneh, Y. Ibrahim, H. Othman, M. Yaakob, R.
Copyright Year	2009
Description	Author affiliation: Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, 43400 Serdang, Selangar D. E., Malaysia (Karasneh, Y.; Ibrahim, H.; Othman, M.; Yaakob, R.)
Abstract	Schema matching is a basic problem in many database application domains, such as data integration. The problem of schema matching can be formulated as follows, “given two schemas, Si and Sj, find the most plausible correspondences between the elements of Si and Sj, exploiting all available information, such as the schemas, instance data, and auxiliary sources” [24]. Given the rapidly increasing number of data sources to integrate and due to database heterogeneities, manually identifying schema matches is a tedious, time consuming, error-prone, and therefore expensive process. As systems become able to handle more complex databases and applications, their schemas become large, further increasing the number of matches to be performed. Thus, automating this process, which attempts to achieve faster and less labor-intensive, has been one of the main tasks in data integration. However, it is not possible to determine fully automatically the different correspondences between schemas, primarily because of the differing and often not explicated or documented semantics of the schemas. Several solutions in solving the issues of schema matching have been proposed. Nevertheless, these solutions are still limited, as they do not explore most of the available information related to schemas and thus affect the result of integration. This paper presents an approach for matching schemas of heterogeneous relational databases that utilizes most of the information related to schemas, which indirectly explores the implicit semantics of the schemas, that further improves the results of the integration.
Starting Page	1
Ending Page	7
File Size	349363
Page Count	7
File Format	PDF
ISBN	9781424444564
DOI	10.1109/ICADIWT.2009.5273926
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-04
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Performance evaluation Relational databases Application software Information technology Graphical user interfaces
Content Type	Text
Resource Type	Article

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