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Towards Exploiting Query History for Adaptive Ontology-Based Visual Query Formulation

  • Ahmet Soylu
  • Martin Giese
  • Ernesto Jimenez-Ruiz
  • Evgeny Kharlamov
  • Dmitriy Zheleznyakov
  • Ian Horrocks
Part of the Communications in Computer and Information Science book series (CCIS, volume 478)

Abstract

Grounded on real industrial use cases, we recently proposed an ontology-based visual query system for SPARQL, named OptiqueVQS. Ontology-based visual query systems employ ontologies and visual representations to depict the domain of interest and queries, and are promising to enable end users without any technical background to access data on their own. However, even with considerably small ontologies, the number of ontology elements to choose from increases drastically, and hence hinders usability. Therefore, in this paper, we propose a method using the log of past queries for ranking and suggesting query extensions as a user types a query, and identify emerging issues to be addressed.

Keywords

Visual Query Formulation Ontology-based Data Access SPARQL Ranking Recommendation 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ahmet Soylu
    • 1
  • Martin Giese
    • 1
  • Ernesto Jimenez-Ruiz
    • 2
  • Evgeny Kharlamov
    • 2
  • Dmitriy Zheleznyakov
    • 2
  • Ian Horrocks
    • 2
  1. 1.Department of InformaticsUniversity of OsloNorway
  2. 2.Department of Computer ScienceUniversity of OxfordUnited Kingdom

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