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SQUALL: A Controlled Natural Language as Expressive as SPARQL 1.1

  • Conference paper
Natural Language Processing and Information Systems (NLDB 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7934))

Abstract

The Semantic Web is now made of billions of triples, which are available as Linked Open Data (LOD) or as RDF stores. The most common approach to access RDF datasets is through SPARQL, an expressive query language. However, SPARQL is difficult to learn for most users because it exhibits low-level notions of relational algebra such as union, filters, or grouping. We present SQUALL, a high-level language for querying and updating an RDF dataset. It has a strong compliance with RDF, covers all features of SPARQL 1.1, and has a controlled natural language syntax that completely abstracts from low-level notions. SQUALL is available as two web services: one for translating a SQUALL sentence to a SPARQL query or update, and another for directly querying a SPARQL endpoint such as DBpedia.

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Author information

Authors and Affiliations

  1. IRISA, Université de Rennes 1, Campus de Beaulieu, 35042, Rennes cedex, France

    Sébastien Ferré

Authors
  1. Sébastien Ferré
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Editor information

Editors and Affiliations

  1. Conservatoire National des Arts et Métiers, 2 rue Conté, 75003, Paris, France

    Elisabeth Métais

  2. School of Computing, Science and Engineering, University of Salford, The Crescent, M5 4WT, Salford, Lancashire, UK

    Farid Meziane  & Sunil Vadera  & 

  3. School of Computing Science and Engineering, University of Salford, The Crescent, M5 4WT, Salford, Lancashire, UK

    Mohamad Saraee

  4. Department of Decision and Information Sciences School of Business Administration, Oakland University, 306 Elliott Hall, 48309, Rochester, MI, USA

    Vijayan Sugumaran

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Ferré, S. (2013). SQUALL: A Controlled Natural Language as Expressive as SPARQL 1.1. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V., Vadera, S. (eds) Natural Language Processing and Information Systems. NLDB 2013. Lecture Notes in Computer Science, vol 7934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38824-8_10

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  • DOI: https://doi.org/10.1007/978-3-642-38824-8_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38823-1

  • Online ISBN: 978-3-642-38824-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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