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    An approach to probabilistic data integration for the semantic web

    Calì, Andrea and Lukasiewicz, T. (2006) An approach to probabilistic data integration for the semantic web. In: da Costa, P.C.G. and Laskey, K.B. and Laskey, K.J. and Fung, F. and Pool, M. (eds.) Proceedings of the 2nd ISWC Workshop on Uncertainty Reasoning for the Semantic Web. ISWC.

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    Abstract

    In previous work, we have introduced probabilistic description logic programs for the Semantic Web, which combine description logics, normal programs under the answer set (resp., well-founded) semantics, and probabilistic uncertainty. In this paper, we continue this line of research. We propose an approach to probabilistic data integration for the Semantic Web that is based on probabilistic description logic programs, where probabilistic uncertainty is used to handle inconsistencies between different data sources. It is inspired by recent works on probabilistic data integration in the database and web community.

    Metadata

    Item Type: Book Section
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 02 Feb 2021 15:44
    Last Modified: 15 Feb 2021 17:38
    URI: https://eprints.bbk.ac.uk/id/eprint/42842

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