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Detail publikace
ŠPERKA, S. SMRŽ, P.
Originální název
Towards Adaptive and Semantic Database Model for RDF Data Stores
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
database model; triple store; RDF; RDFS; inference; semantics; Semantic Web
Autoři
ŠPERKA, S.; SMRŽ, P.
Rok RIV
2012
Vydáno
4. 7. 2012
Nakladatel
IEEE Computer Society
Místo
Palermo
ISBN
978-0-7695-4687-2
Kniha
Proceedings of Sixth International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2012)
Strany od
810
Strany do
815
Strany počet
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/" }