Griwes: Generic Model and Preliminary Specifications for a Graph-Based Knowledge Representation Toolkit

  • Authors:
  • Jean-François Baget;Olivier Corby;Rose Dieng-Kuntz;Catherine Faron-Zucker;Fabien Gandon;Alain Giboin;Alain Gutierrez;Michel Leclère;Marie-Laure Mugnier;Rallou Thomopoulos

  • Affiliations:
  • Edelweiss, INRIA Sophia Antipolis Méditerranée, and RCR, LIRMM, UMII, CNRS,;Edelweiss, INRIA Sophia Antipolis Méditerranée,;Edelweiss, INRIA Sophia Antipolis Méditerranée,;KEWI, I3S, UNSA, CNRS,;Edelweiss, INRIA Sophia Antipolis Méditerranée,;Edelweiss, INRIA Sophia Antipolis Méditerranée,;Edelweiss, INRIA Sophia Antipolis Méditerranée,;RCR, LIRMM, UMII, CNRS,;RCR, LIRMM, UMII, CNRS,;RCR, LIRMM, UMII, CNRS, and IATE Joint Research Unit, INRA Montpellier,

  • Venue:
  • ICCS '08 Proceedings of the 16th international conference on Conceptual Structures: Knowledge Visualization and Reasoning
  • Year:
  • 2008

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Abstract

Griwes is an initiative to develop a common model and an open-source freeware platform shared by different graph-based frameworks. We provide an overview of its objectives, architecture and specifications. We detail some of the basic mathematical structures that are used to characterize the primitives for graph-based knowledge representation. We then propose to factorize recurrent knowledge representation primitives that can be shared across specific graph-based languages and we provide a proof of concept by showing how two languages (Simple Conceptual Graphs and RDF) can be described in this framework.