Graph Structures for Knowledge Representation and Reasoning: Third International Workshop, GKR 2013, Beijing, China, August 3, 2013. Revised Selected Papers

Madalina Croitoru 1 Sebastian Rudolph 2 Stefan Woltran 3 Christophe Gonzales 4
1 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
4 DECISION
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : Versatile and effective techniques for knowledge representation and reasoning (KRR) are essential for the development of successful intelligent systems. Many representatives of next generation KRR systems are based on graph-based knowledge representation formalisms and leverage graph-theoretical notions and results. The goal of the workshop series on Graph Structures for Knowledge Representation and Reasoning (GKR) is to bring together the researchers involved in the development and application of graph-based knowledge representation formalisms and reasoning techniques. This volume contains revised selected papers of the third edition of GKR, which took place in Beijing, China on August 3, 2013. Like the previous editions, held in Pasadena, USA (2009), and in Barcelona, Spain (2011), the workshop was associated with IJCAI (the International Joint Conference on Artificial Intelligence), thus providing the perfect venue for a rich and valuable exchange. The scientific program of this workshop included many topics related to graph-based knowledge representation and reasoning such as representations of constraint satisfaction problems, formal concept analysis, conceptual graphs, argumentation frameworks and many more. All in all, the third edition of the GKR workshop was very successful. The papers coming from diverse fields all addressed various issues for knowledge representation and reasoning and the common graph-theoretic background allowed to bridge the gap between the different communities. This made it possible for the participants to gain new insights and inspiration. We are grateful for the support of IJCAI and we would also like to thank the Program Committee of the workshop for their hard work in reviewing papers and providing valuable guidance to the contributors. But, of course, GKR 2013 would not have been possible without the dedicated involvement of the contributing authors and participants.
Type de document :
Direction d'ouvrage, Proceedings, Dossier
Madalina Croitoru; Sebastian Rudolph; Stefan Woltran; Christophe Gonzales. GKR: Graph Structures for Knowledge Representation and Reasoning, Aug 2013, Beijing, China. 8323, Springer, pp.1-211, 2013, Lecture Notes in Computer Science, 978-3-319-04533-7. 〈10.1007/978-3-319-04534-4〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01187852
Contributeur : Alain Monteil <>
Soumis le : jeudi 27 août 2015 - 17:40:15
Dernière modification le : vendredi 31 août 2018 - 09:25:55

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Madalina Croitoru, Sebastian Rudolph, Stefan Woltran, Christophe Gonzales. Graph Structures for Knowledge Representation and Reasoning: Third International Workshop, GKR 2013, Beijing, China, August 3, 2013. Revised Selected Papers. Madalina Croitoru; Sebastian Rudolph; Stefan Woltran; Christophe Gonzales. GKR: Graph Structures for Knowledge Representation and Reasoning, Aug 2013, Beijing, China. 8323, Springer, pp.1-211, 2013, Lecture Notes in Computer Science, 978-3-319-04533-7. 〈10.1007/978-3-319-04534-4〉. 〈lirmm-01187852〉

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