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A Formal Model for Data Fusion

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Flexible Query Answering Systems (FQAS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2522))

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Abstract

In information retrieval, the data fusion problem is as follows: given two or more independent retrieved sets of ranked documents in response to the same query, how to merge the sets in order to present the user with the most effective ranking? We propose a formalmo del for data fusion that is based on the knowledge that can be derived from the retrieved documents. The modelis based on evidential reasoning, a theory that formally expresses knowledge and the combination of knowledge. Knowledge characterising a ranked list of retrieved documents is symbolised. The combination of knowledge associated to the several retrieval results yields the characterisation of the merged result.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Queen Mary University of London, London E1 4NS, U.K

    Mounia Lalmas

Authors
  1. Mounia Lalmas
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Editor information

Editors and Affiliations

  1. Carnegie Mellon University, Pittsburgh, PA, USA

    Jaime G. Carbonell

  2. University of Saarland, Saabrücken, Germany

    Jörg Siekmann

  3. Roskilde University, Building 42-1, P.O. Box 260, 4000, Roskilde, Denmark

    Troels Andreasen  & Henning Christiansen  & 

  4. Department of Information and Software Engineering School of Information Technology and Engineering, George Mason University, Fairfax, 22030-4444, Virginia, USA

    Amihai Motro

  5. Dept. of Computer Science and Engineering, Aalborg University Esbjerg, Niels Bohrs Vej 8, 6700, Esbjerg, Denmark

    Henrik Legind Larsen

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© 2002 Springer-Verlag Berlin Heidelberg

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Lalmas, M. (2002). A Formal Model for Data Fusion. In: Carbonell, J.G., Siekmann, J., Andreasen, T., Christiansen, H., Motro, A., Legind Larsen, H. (eds) Flexible Query Answering Systems. FQAS 2002. Lecture Notes in Computer Science(), vol 2522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36109-X_22

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  • DOI: https://doi.org/10.1007/3-540-36109-X_22

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00074-7

  • Online ISBN: 978-3-540-36109-1

  • eBook Packages: Springer Book Archive

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