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Ontology-Based Visual Query Formulation: An Industry Experience

  • Ahmet Soylu
  • Evgeny Kharlamov
  • Dmitriy Zheleznyakov
  • Ernesto Jimenez-Ruiz
  • Martin Giese
  • Ian Horrocks
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9474)

Abstract

Querying is an essential instrument for meeting ad hoc information needs; however, current approaches for querying semantic data sources mostly target technologically versed users. Hence, there is a need for methods that make it possible for users with limited technological skills to express relatively complex ad hoc information needs in an easy and intuitive way. Visual methods for query formulation undertake the challenge of making querying independent of users’ technical skills and the knowledge of the underlying textual query language and the structure of data. In this paper, we present an ontology-based visual query system, OptiqueVQS, and report user experiments in two industrial settings.

Keywords

Visual query formulation Ontology Usability SPARQL 

Notes

Acknowledgements

This research is funded by “Optique” (EC FP7 318338), as well as the EPSRC projects Score!, DBOnto, and \(\text {MaSI}^3\).

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Ahmet Soylu
    • 1
    • 2
  • Evgeny Kharlamov
    • 3
  • Dmitriy Zheleznyakov
    • 3
  • Ernesto Jimenez-Ruiz
    • 3
  • Martin Giese
    • 1
  • Ian Horrocks
    • 3
  1. 1.Department of InformaticsUniversity of OsloOsloNorway
  2. 2.Faculty of Informatics and Media TechnologyGjøVik University CollegeGjøVikNorway
  3. 3.Department of Computer ScienceUniversity of OxfordOxfordUK

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