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f-SPARQL: A Flexible Extension of SPARQL

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Database and Expert Systems Applications (DEXA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6261))

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Abstract

We propose an flexible extension of SPARQL by introducing fuzzy set theory and the α-cut operation of fuzzy numbers into SPARQL. We show how to efficiently compute the top-k answers of flexible SPARQL queries with regard to membership degrees and user-defined weights. Based on our method, a flexible query service is implemented and evaluated on the LUBM platform. Results of a preliminary user study demonstrate that the method for construction and translation of flexible queries and results ranking can capture the users’s intension effectively.

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References

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Author information

Authors and Affiliations

  1. Northeastern University, Shenyang, 110819, China

    Jingwei Cheng, Z. M. Ma & Li Yan

Authors
  1. Jingwei Cheng
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  2. Z. M. Ma
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  3. Li Yan
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Editor information

Editors and Affiliations

  1. DeustoTech Computing, University of Deusto, Avda. Universidades, 24, 48007, Bilbao, Spain

    Pablo García Bringas

  2. Institut de Recherche en Informatique de Toulouse (IRIT), Paul Sabatier University, 118, route de Narbonne, 31062, Toulouse Cedex, France

    Abdelkader Hameurlain

  3. Faculty of Computer Science, Department of Distributed Systems and Multimedia Systems, University of Vienna, Liebiggasse 4/3-4, 1010, Vienna, Austria

    Gerald Quirchmayr

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© 2010 Springer-Verlag Berlin Heidelberg

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Cheng, J., Ma, Z.M., Yan, L. (2010). f-SPARQL: A Flexible Extension of SPARQL. In: Bringas, P.G., Hameurlain, A., Quirchmayr, G. (eds) Database and Expert Systems Applications. DEXA 2010. Lecture Notes in Computer Science, vol 6261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15364-8_41

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  • DOI: https://doi.org/10.1007/978-3-642-15364-8_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15363-1

  • Online ISBN: 978-3-642-15364-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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