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Advances in accessing big data with expressive ontologies
Publikationstyp
Conference Paper
Date Issued
2013
Sprache
English
Institut
TORE-URI
First published in
Number in series
1014
Start Page
842
End Page
853
Citation
CEUR Workshop Proceedings (1014): 842-853 (2013)
Contribution to Conference
Publisher
RWTH Aachen
Ontology-based query answering has to be supported w.r.t. secondary memory and very expressive ontologies to meet practical requirements in some applications. Recently, advances for the expressive DL SHI have been made in the dissertation of S. Wandelt for conceptbased instance retrieval on Big Data descriptions stored in secondary memory. In this paper we extend this approach by investigating optimization algorithms for answering grounded conjunctive queries.
DDC Class
004: Informatik