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Treo: Best-Effort Natural Language Queries over Linked Data

  • André Freitas
  • João Gabriel Oliveira
  • Seán O’Riain
  • Edward Curry
  • João Carlos Pereira da Silva
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6716)

Abstract

Linked Data promises an unprecedented availability of data on the Web. However, this vision comes together with the associated challenges of querying highly heterogeneous and distributed data. In order to query Linked Data on the Web today, end-users need to be aware of which datasets potentially contain the data and the data model behind these datasets. This query paradigm, deeply attached to the traditional perspective of structured queries over databases, does not suit the heterogeneity and scale of the Web, where it is impractical for data consumers to have an a priori understanding of the structure and location of available datasets. This work describes Treo, a best-effort natural language query mechanism for Linked Data, which focuses on the problem of bridging the semantic gap between end-user natural language queries and Linked Datasets.

Keywords

Natural Language Queries Linked Data 

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References

  1. 1.
    Kaufmann, E., Bernstein, A.: Evaluating the usability of natural language query languages and interfaces to Semantic Web knowledge bases. In: Web Semantics: Science, Services and Agents on the World Wide Web, vol. 8, pp. 377–393 (2010)Google Scholar
  2. 2.
    Freitas, A., Oliveira, J.G., O’Riain, S., Curry, E., da Silva, P.: Querying Linked Data using Semantic Relatedness: A Vocabulary Independent Approach. In: Proceedings of the 16th International Conference on Applications of Natural Language to Information Systems, NLDB (2011)Google Scholar
  3. 3.
    Treo Query Examples (2011), http://treo.deri.ie/gallery/nldb2011.htm

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • André Freitas
    • 1
  • João Gabriel Oliveira
    • 1
    • 2
  • Seán O’Riain
    • 1
  • Edward Curry
    • 1
  • João Carlos Pereira da Silva
    • 2
  1. 1.Digital Enterprise Research Institute (DERI)National University of IrelandGalwayIreland
  2. 2.Computer Science DepartmentUniversidade Federal do Rio de JaneiroBrasil

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