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Experiencing OptiqueVQS: a multi-paradigm and ontology-based visual query system for end users

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Abstract

Data access in an enterprise setting is a determining factor for value creation processes, such as sense-making, decision-making, and intelligence analysis. Particularly, in an enterprise setting, intuitive data access tools that directly engage domain experts with data could substantially increase competitiveness and profitability. In this respect, the use of ontologies as a natural communication medium between end users and computers has emerged as a prominent approach. To this end, this article introduces a novel ontology-based visual query system, named OptiqueVQS, for end users. OptiqueVQS is built on a powerful and scalable data access platform and has a user-centric design supported by a widget-based flexible and extensible architecture allowing multiple coordinated representation and interaction paradigms to be employed. The results of a usability experiment performed with non-expert users suggest that OptiqueVQS provides a decent level of expressivity and high usability and hence is quite promising.

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Notes

  1. http://www.ibm.com/big-data/us/en/.

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

  3. http://www.statoil.com.

  4. http://www.siemens.com.

  5. Though accessibility often focuses on people with disabilities or special needs, in the present context with a broader interpretation, it relates to knowledge and skill barriers.

  6. End-user development is defined as a set of methods, techniques, and tools that allow users of software systems, who are acting as non-professional software developers, to create, modify, or extend software artefacts [57], and forms the definition of end user in the context of this article.

  7. http://youtu.be/ks5tcPZVHp0.

  8. www.fluidops.com/information-workbench/.

  9. http://ontop.inf.unibz.it.

  10. http://www.w3.org/TR/owl2-new-features/#Extended_Annotations.

  11. Lopez et al. [58] suggest using precision, recall, and f-measure over the returned result set; however, contrary to information retrieval, in data retrieval, a query is meant to retrieve all and only those objects that match the criteria. In other words, even a single erroneous object implies a total failure (cf. [1, 90]). Therefore, a binary measure of success (i.e., correct/incorrect query) rather than a fuzzy one is used.

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Acknowledgments

This research is funded by the Seventh Framework Programme (FP7) of the European Commission under Grant Agreement 318338, “Optique”. Ian Horroks and Ernesto Jimenez-Ruiz were also supported by the EPSRC projects MaSI3, Score! and DBOnto.

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Authors and Affiliations

  1. Gjøvik University College, Gjøvik, Norway

    Ahmet Soylu

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

    Ahmet Soylu, Martin Giese & Guillermo Vega-Gorgojo

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

    Ernesto Jimenez-Ruiz & Ian Horrocks

Authors
  1. Ahmet Soylu
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  2. Martin Giese
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  3. Ernesto Jimenez-Ruiz
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  4. Guillermo Vega-Gorgojo
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  5. Ian Horrocks
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Correspondence to Ahmet Soylu.

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Soylu, A., Giese, M., Jimenez-Ruiz, E. et al. Experiencing OptiqueVQS: a multi-paradigm and ontology-based visual query system for end users. Univ Access Inf Soc 15, 129–152 (2016). https://doi.org/10.1007/s10209-015-0404-5

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  • DOI: https://doi.org/10.1007/s10209-015-0404-5

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