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KSEM
2010
Springer

Towards Scalable Instance Retrieval over Ontologies

9 years 4 months ago
Towards Scalable Instance Retrieval over Ontologies
In this paper, we consider the problem of query answering over large multimedia ontologies. Traditional reasoning systems may have problems to deal with large amounts of expressive ontological data (terminological as well as assertional data) that usually must be kept in main memory. We propose to overcome this problem with a new so-called filter and refine paradigm for ontology-based query answering. The contribution of this paper is twofold: (1) For both steps, algorithms are presented. (2) We evaluate our approach on real world multimedia ontologies from the BOEMIE project1 .
Alissa Kaplunova, Ralf Möller, Sebastian Wand
Added 29 Jan 2011
Updated 29 Jan 2011
Type Journal
Year 2010
Where KSEM
Authors Alissa Kaplunova, Ralf Möller, Sebastian Wandelt, Michael Wessel
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