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    Tractable query answering over conceptual schemata

    Calì, Andrea and Gottlob, G. and Pieris, A. (2009) Tractable query answering over conceptual schemata. In: Laender, A.H.F. and Castano, S. and Dayal, U. and Casati, F. and Oliverira, J.P.M. (eds.) 28th International Conference on Conceptual Modeling. Lecture Notes in Computer Science 5829. Berlin, Germany: Springer, pp. 175-190. ISBN 9783642048401.

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    Abstract

    We address the problem of answering conjunctive queries over extended Entity-Relationship schemata, which we call EER (Extended ER) schemata, with is-a among entities and relationships, and cardinality constraints. This is a common setting in conceptual data modelling, where reasoning over incomplete data with respect to a knowledge base is required. We adopt a semantics for EER schemata based on their relational representation. We identify a wide class of EER schemata for which query answering is tractable in data complexity; the crucial condition for tractability is the separability between maximum-cardinality constraints (represented as key constraints in relational form) and the other constraints. We provide, by means of a graph-based representation, a syntactic condition for separability: we show that our conditions is not only sufficient, but also necessary, thus precisely identifying the class of separable schemata. We present an algorithm, based on query rewriting, that is capable of dealing with such EER schemata, while achieving tractability. We show that further negative constraints can be added to the EER formalism, while still keeping query answering tractable. We show that our formalism is general enough to properly generalise the most widely adopted knowledge representation languages.

    Metadata

    Item Type: Book Section
    Additional Information: 28th International Conference on Conceptual Modeling, Gramado, Brazil, November 9-12, 2009. Proceedings
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centre: Birkbeck Knowledge Lab
    Depositing User: Sarah Hall
    Date Deposited: 10 May 2013 16:54
    Last Modified: 02 Dec 2016 13:22
    URI: http://eprints.bbk.ac.uk/id/eprint/6705

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