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SPARQLent: A SPARQL Based Intelligent Agent Performing Service Matchmaking

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Semantic Web Services

Abstract

This chapter describes the experimental results of SPARQLent, a SPARQL-based intelligent agent that performs exact and approximate service matchmaking. We give an introduction describing (1) how SPARQL can be used as expression language to describe the preconditions/effects of services, as well as the goals of agents, and (2) how SPARQL query evaluation supports computation of effects, and checking of preconditions/goal satisfiability. We describe experimental results in a real world application where our approach has been used to automate the selection of assistance services for citizens. We also present a comparative evaluation based on the standard test collection OWLS-TC. Finally, we conclude with some lessons learned, and some suggestions for future work.

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Notes

  1. 1.

    A blank node is by definition equivalent to an existentially quantified variable, and in fact blank nodes serve the purpose of representing resources that cannot be named at present.

  2. 2.

    http://www.regione.veneto.it/

  3. 3.

    http://projects.semwebcentral.org/projects/owls-tc/

  4. 4.

    http://projects.semwebcentral.org/projects/sme2/

  5. 5.

    Precision, recall and fallout are standard measures for evaluating the performance of information retrieval systems. Intuitively, precisionis the fraction of the answer set that is relevant to the query, whereas recallis the fraction of the set of relevant items for the query that has been retrieved. Finally, falloutrepresents the fraction of non-relevant items that are retrieved.

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Authors and Affiliations

  1. Smarter Cities Technology Centre, IBM Research, Dublin, Ireland

    Marco Luca Sbodio

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  1. Marco Luca Sbodio
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Correspondence to Marco Luca Sbodio .

Editor information

Editors and Affiliations

  1. University of Miami, 1252 Memorial Drive, Ashe Building 325C, Coral Gables, 33124-4628, Florida, USA

    Brian Blake

  2. , Knowledge Media Institute - KMI, The Open University, Walton Hall, Milton Keynes, MK76AA, United Kingdom

    Liliana Cabral

  3. Fak. Mathematik und Informatik, Inst. Informatik, Universität Jena, Ernst-Abbe-Str. 2, Jena, 07743, Thüringen, Germany

    Birgitta König-Ries

  4. University of Jena, Jena, 07743, Germany

    Ulrich Küster

  5. SRI International, Ravenswood Ave. 333, MENLO PARK, 94025-3493, California, USA

    David Martin

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Sbodio, M.L. (2012). SPARQLent: A SPARQL Based Intelligent Agent Performing Service Matchmaking. In: Blake, B., Cabral, L., König-Ries, B., Küster, U., Martin, D. (eds) Semantic Web Services. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28735-0_6

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  • DOI: https://doi.org/10.1007/978-3-642-28735-0_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28734-3

  • Online ISBN: 978-3-642-28735-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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