BIROn - Birkbeck Institutional Research Online

    DAMIA: a data mashup fabric for intranet applications

    Altinel, M. and Brown, Paul and Cline, S. and Kartha, R. and Louie, E. and Markl, V. and Mau, L. and Ng, Y.-H. and Simmen, D.E. and Singh, A. and Srivastava, D. (2007) DAMIA: a data mashup fabric for intranet applications. In: Koch, C. and Gehrke, J. and Garofalakis, M.N. and Aberer, K. and Deshpande, A. and Florescu, D. and Yong Chan, C. and Ganti, V. and Kanne, C.-C. and Klas, W. and Neuhold, E.J. (eds.) ACM 2007: Proceedings of the 33rd International Conference on Very Large Data Bases. Association for Computing Machinery, pp. 1370-1373. ISBN 9781595936493.

    [img]
    Preview
    Text
    p1370-altinel.pdf - Published Version of Record

    Download (453kB) | Preview

    Abstract

    Damia is a lightweight enterprise data integration service where line of business users can create and catalog high value data feeds for consumption by situational applications. Damia is inspired by the Web 2.0 mashup phenomenon. It consists of (1) a browserbased user-interface that allows for the specification of data mashups as data flow graphs using a set of operators, (2) a server with an execution engine, as well as (3) APIs for searching, debugging, executing and managing mashups. Damia offers a framework and functionality for dynamic entity resolution, streaming and other higher value features particularly important in the enterprise domain. Damia is currently in perpetual beta in the IBM Intranet. In this demonstration, we showcase the creation and execution of several enterprise data mashups, thereby illustrating the architecture and features of the overall Damia system.

    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 18:51
    Last Modified: 28 Jun 2021 09:55
    URI: https://eprints.bbk.ac.uk/id/eprint/43151

    Statistics

    Downloads
    Activity Overview
    6Downloads
    32Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item