Toward automated large-scale information integration and discovery

Brown, Paul and Haas, P.J. and Myllymaki, J. and Pirahesh, H. and Reinwald, B. and Sismanis, Y. (2005) Toward automated large-scale information integration and discovery. In: Harder, T. and Lehner, W. (eds.) Data Management in a Connected World: Essays Dedicated to Hartmut Wedekind on the Occasion of His 70th Birthday. Lecture Notes in Computer Science 3551. Springer, pp. 161-180. ISBN 9783540262954.

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Official URL: https://doi.org/10.1007/11499923\_9

Abstract

The high cost of data consolidation is the key market inhibitor to the adoption of traditional information integration and data warehousing solutions. In this paper, we outline a next-generation integrated database management system that takes traditional information integration, content management, and data warehouse techniques to the next level: the system will be able to integrate a very large number of information sources and automatically construct a global business view in terms of “Universal Business Objects”. We describe techniques for discovering, unifying, and aggregating data from a large number of disparate data sources. Enabling technologies for our solution are XML, web services, caching, messaging, and portals for real-time dashboarding and reporting.

Metadata

Item Type:	Book Section
School:	Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
Depositing User:	Sarah Hall
Date Deposited:	23 Feb 2021 20:09
Last Modified:	09 Aug 2023 12:50
URI:	https://eprints.bbk.ac.uk/id/eprint/43159

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