Document (#38577)

Author

Soylu, A.
Giese, M.
Jimenez-Ruiz, E.
Kharlamov, E.
Zheleznyakov, D.
Horrocks, I.

Title

Towards exploiting query history for adaptive ontology-based visual query formulation

Source

Metadata and semantics research: 8th Research Conference, MTSR 2014, Karlsruhe, Germany, November 27-29, 2014, Proceedings. Eds.: S. Closs et al

Imprint

Cham : Springer

Year

2014

Pages

S.107-119

Series

Communications in computer and information science; 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.

Theme

Visualisierung

Object

OptiqueVQS

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