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    Querying deep web data sources as linked data

    Anelli, V.W. and Bellini, V. and Cali, Andrea and De Santis, G. and di Noia, T. and di Sciascio, E. (2017) Querying deep web data sources as linked data. In: UNSPECIFIED (ed.) Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics - WIMS '17. The Association for Computing Machinery, pp. 1-7. ISBN 9781450352253.

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    Abstract

    The Deep Web is constituted by dynamically generated pages, usually requested through HTML forms; it is notoriously difficult to query and to search, as its pages are obviously non-indexable. Recently, Deep Web data have been made accessible through RESTful services that return information usually structured in JSON or XML format. We propose techniques to make the Deep Web available in the Linked Data Cloud, and we study algorithms for processing queries posed in a transparent way on the Linked Data, providing answers based on the underlying Deep Web sources. We present a software prototype that exposes RESTful services as Linked Data datasets thus allowing a smoother semantic integration of different structured information sources in a global data and knowledge space.

    Metadata

    Item Type: Book Section
    Additional Information: Amantea, Italy — June 19 - 22, 2017
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Administrator
    Date Deposited: 02 Jul 2018 09:41
    Last Modified: 02 Jul 2018 09:41
    URI: http://eprints.bbk.ac.uk/id/eprint/20195

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