RDF model and Sowovy conceptual graphs are two different directions, although are based on the associative (semantic) networks. This article is a build on the author’s work concerning the modified RDF graph-based model, which has a higher expressiveness. This article aims to start work on both formal systems and find common features for conversion. The reason this work is RDF, which is a data format designed to enable semantic interoperability between computers, and the largest part of its specification provides the means for this in defining the core vocabulary, an XML serialization, inferencing, etc.
REFERENCES
1.
T.
Berners-Lee
, E.
Miller
: The Semantic Web lifts off
: http://www.ercim.org/publication/Ercim\_News/enw51/bernerslee.html2.
3.
4.
J.
Hayes
: A Graph Model for RDF
. Diploma thesis, Technische Universitat Darmstadt, Department of Computer Science
, Germany
, http://www.dcc.uchile.cl/~cgutierr/papers/rdfgraphmodel.pdf (2004
)5.
J.
Hayes
, C.
Gutierrez
: BipartiteGraphs as Intermediate Model for RDF
. In: Proceedingsof ISWC 2004, The Third International Semantic Web Conference
, Hiroshima, Japan
, November 7–11, 2004
. Lecture Notes in Computer Science
, Springer
Verlag
(2004
).6.
7.
J. F.
Sowa
: Conceptual Structures: Information Processing in Mind and Machine
. Addison Wesley Publishing Company Reading
, 1984
.8.
J. F.
Sowa
: Knowledge Representation: Logical, Philosophical, and Computational Foundations
. Brooks Cole Publishing Co.
, Pacific Grove, CA
, 2000
.9.
J. F.
Sowa
: ConceptualGraphsSummary. In: T. E.
Nagle
, J. A.
Nagle
, L. L.
Gerholz
, P. W.
Eklund
(Eds.): ConceptualStructures: currentresearch and practice
, EllisHorwood
, 1992
, 3
–51
.10.
11.
F.
Dau
: The Logic System of Concept Graphs with Negation (And Its Relationshipto Predicate Logic). Lecture Notes in Artificial Intelligence
, Vol. 2892
, ISBN 3-540-20607-8. Springer
, Berlin–Heidelberg–New York
, 2003
.12.
A.
Lukasová
, M.
Vajgl
, M.
Žáček
: Reasoning in RDF graphic formal system with quantifiers
. Proceedings of the International Multiconference on Computer Science and Information Technology
. 2010
. s. 67
–72
. ISBN 978-83-60810-22-4.13.
A.
Lukasová
: Knowledge representation in associative networks (in Czech). In Znalosti 2001
. Praha
: FIS VŠE
, 2001
. 245
–250
. ISBN 80-245-0190-2.14.
This content is only available via PDF.
© 2015 AIP Publishing LLC.
2015
AIP Publishing LLC
You do not currently have access to this content.