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Title: Capturing RDF Descriptive Semantics in an Object Oriented Knowledge Base System
Author(s): N. Bassiliades, I. Vlahavas.
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Keywords: RDF, Object Model, CLIPS, Descriptive Semantics, Deductive Rules, Production Rules.
Appeared in: Proc. 12th Int. WWW Conf. (WWW2003), ACM, CDROM (Poster), Budapest, Hungary, May 2003, 2003.
Abstract: In this paper, we present a deductive object-oriented knowledge base system, called R-DEVICE, which imports RDF data into the CLIPS production rule system as objects and uses a deductive rule language for querying and reasoning about them. In our model properties of resources are not scattered across several triples as in most other RDF storage and querying systems, resulting in increased query per-formance due to less joins. R-DEVICE features a powerful deductive rule language which is able to express arbitrary queries both on the RDF schema and data, including generalized path expressions, strati-fied negation, aggregate, grouping, and sorting, functions, mainly due to the second-order syntax of the rule language which is efficiently translated into sets of first-order logic rules using metadata.
See also : R-DEVICE


        This paper has been cited by the following:

1 Tim Furche, François Bry, Sebastian Schaffert, Renzo Orsini, Ian Horrocks, Michael Kraus, and Oliver Bolzer, "Survey over Existing Query and Transformation Languages", REWERSE Project Report, IST506779/Munich/I4D1/D/PU/a1, August 2004.
2 James Bailey, François Bry, Tim Furche, and Sebastian Schaffert, "Web and Semantic Web Query Languages: A Survey", Reasoning Web, First International Summer School 2005, N. Eisinger, J. Maluszynski, (Eds.), LNCS 3564, Springer-Verlag, 2005.
3 Furche, T., Linse, B., Bry, F., Plexousakis, D., Gottlob, G., “RDF querying: Language constructs and evaluation methods compared”, Reasoning Web, Second International Summer School 2006, P. Barahona, F. Bry, E. Franconi, N. Henze, U. Sattler, (Eds.), Lisbon, Portugal, Sep. 2006, Springer-Verlag, LNCS 4126, pp. 1-52.
4 Mwangi Josephine Wambui, “Software Agents for Projects Identification – The Case of CDF Projects”, MSc thesis, School of Computing and Informatics, University Of Nairobi, Kenya, June 2009.
5 Lai-Chen Lu, “Automatic Electronic Business Collaboration Based On Intelligent Agent Technology”, PhD Thesis, Department of Computer Science and Engineering, Tatung University, Korea, June 2009.
6 Mbaiossoum Bery Leoiro, “Conception physique des bases de données a base ontologique: le cas des vues matérialisées", PhD Thesis, Ecole Nationale Supérieure de Mécanique et d'Aérotechnique, La-boratoire d'lnformatique et d'Automatique pour les Systèmes, France, December 2014.


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