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

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 usab...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-319-13674-5_11

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Institution:
University of Oslo
Role:
Author
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Institution:
University of Oslo
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Research group:
Information Systems
Oxford college:
Wolfson College
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Research group:
Information Systems
Oxford college:
Oriel College
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Research group:
Information Systems
Oxford college:
Oriel College
Role:
Author
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Funding agency for:
Soylu, A
Grant:
318338
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Funding agency for:
Kharlamov, E
Grant:
318338
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Funding agency for:
Giese, M
Grant:
318338
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Grant:
Optique/318338
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Funding agency for:
Jimenez Ruiz, E
Grant:
318338
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Publisher:
Springer International Publishing Publisher's website
Volume:
478
Pages:
107-119
Host title:
Metadata and Semantics Research : Communications in Computer and Information Science -8th Research Conference, MTSR 2014
Publication date:
2014-11-14
DOI:
ISSN:
1865-0929
ISBN:
9783319136745
Language:
English
Keywords:
UUID:
uuid:31d0ef45-6f9b-439a-a035-b5406fca520b
Local pid:
ora:9494
Deposit date:
2014-12-03

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