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Publication detail
ŠPERKA, S. SMRŽ, P.
Original Title
Towards Adaptive and Semantic Database Model for RDF Data Stores
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
RDF Schema is a basic and yet very important language for specifying ontologies in the context of Semantic Web. Ontologies can be used to obtain more information from that explicitly stated. Traditionally, the process of revealing implicit knowledge, known as inference or reasoning, is realised by a reasoner -- a component which either processes data to infer all conclusions in advance or, given a query, infers all implicit answers during a query evaluation process. In this paper, we present an alternative approach based on structuring data in a database according to underlying ontologies. This knowledge structure is employed for directing query evaluation to data relevant for the given query. Thus, this method reduces reasoning to retrieving. We show that the proposed schema preserves the semantics of RDF and RDFS in standard use cases.
Keywords
database model; triple store; RDF; RDFS; inference; semantics; Semantic Web
Authors
ŠPERKA, S.; SMRŽ, P.
RIV year
2012
Released
4. 7. 2012
Publisher
IEEE Computer Society
Location
Palermo
ISBN
978-0-7695-4687-2
Book
Proceedings of Sixth International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2012)
Pages from
810
Pages to
815
Pages count
6
URL
https://www.fit.vut.cz/research/publication/9958/
BibTex
@inproceedings{BUT96945, author="Svatopluk {Šperka} and Pavel {Smrž}", title="Towards Adaptive and Semantic Database Model for RDF Data Stores", booktitle="Proceedings of Sixth International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2012)", year="2012", pages="810--815", publisher="IEEE Computer Society", address="Palermo", isbn="978-0-7695-4687-2", url="https://www.fit.vut.cz/research/publication/9958/" }