Publication detail

Towards Adaptive and Semantic Database Model for RDF Data Stores

ŠPERKA, S. SMRŽ, P.

Original Title

Towards Adaptive and Semantic Database Model for RDF Data Stores

English Title

Towards Adaptive and Semantic Database Model for RDF Data Stores

Type

conference paper

Language

en

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.

English 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

RIV year

2012

Released

04.07.2012

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)

Edition

NEUVEDEN

Edition number

NEUVEDEN

Pages from

810

Pages to

815

Pages count

6

URL

BibTex


@inproceedings{BUT96945,
  author="Svatopluk {Šperka} and Pavel {Smrž}",
  title="Towards Adaptive and Semantic Database Model for RDF Data Stores",
  annote="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.",
  address="IEEE Computer Society",
  booktitle="Proceedings of Sixth International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2012)",
  chapter="96945",
  edition="NEUVEDEN",
  howpublished="print",
  institution="IEEE Computer Society",
  year="2012",
  month="july",
  pages="810--815",
  publisher="IEEE Computer Society",
  type="conference paper"
}