Document (#38578)

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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