Detail publikace

Towards Adaptive and Semantic Database Model for RDF Data Stores

Originální název

Towards Adaptive and Semantic Database Model for RDF Data Stores

Anglický název

Towards Adaptive and Semantic Database Model for RDF Data Stores

Jazyk

en

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.

Anglický 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.

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"
}