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Ontology-Based Visual Query Formulation: An Industry Experience

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Advances in Visual Computing (ISVC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9474))

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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.

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Notes

  1. 1.

    http://www.optique-project.eu.

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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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Authors and Affiliations

  1. Department of Informatics, University of Oslo, Oslo, Norway

    Ahmet Soylu & Martin Giese

  2. Faculty of Informatics and Media Technology, GjøVik University College, GjøVik, Norway

    Ahmet Soylu

  3. Department of Computer Science, University of Oxford, Oxford, UK

    Evgeny Kharlamov, Dmitriy Zheleznyakov, Ernesto Jimenez-Ruiz & Ian Horrocks

Authors
  1. Ahmet Soylu
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  2. Evgeny Kharlamov
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  3. Dmitriy Zheleznyakov
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  4. Ernesto Jimenez-Ruiz
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  5. Martin Giese
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  6. Ian Horrocks
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Corresponding author

Correspondence to Ahmet Soylu .

Editor information

Editors and Affiliations

  1. University of Nevada, Reno, Nevada, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, California, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, Nevada, USA

    Darko Koracin

  5. University of Houston, Houston, Texas, USA

    Ioannis Pavlidis

  6. IBM T.J. Watson Research Center, Yorktown Heights, New York, USA

    Rogerio Feris

  7. Purdue University, West Lafayette, Indiana, USA

    Tim McGraw

  8. Side Effects Software, Santa Monica, California, USA

    Mark Elendt

  9. The DiVE, Durham, North Carolina, USA

    Regis Kopper

  10. Texas A&M University, College Station, Texas, USA

    Eric Ragan

  11. Kent State University, Kent, Ohio, USA

    Zhao Ye

  12. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Gunther Weber

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Soylu, A., Kharlamov, E., Zheleznyakov, D., Jimenez-Ruiz, E., Giese, M., Horrocks, I. (2015). Ontology-Based Visual Query Formulation: An Industry Experience. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2015. Lecture Notes in Computer Science(), vol 9474. Springer, Cham. https://doi.org/10.1007/978-3-319-27857-5_75

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  • DOI: https://doi.org/10.1007/978-3-319-27857-5_75

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27856-8

  • Online ISBN: 978-3-319-27857-5

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