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. © 2008 Springer-Verlag.
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Baget, J. F., Corby, O., Dieng-Kuntz, R., Faron-Zucker, C., Gandon, F., Giboin, A., … Thomopoulos, R. (2008). Griwes: Generic model and preliminary specifications for a graph-based knowledge representation toolkit. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5113 LNAI, pp. 297–310). https://doi.org/10.1007/978-3-540-70596-3_21
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