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    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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    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: School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 23 Feb 2021 20:09
    Last Modified: 23 Feb 2021 20:09
    URI: https://eprints.bbk.ac.uk/id/eprint/43159

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