Graph Structures for Knowledge Representation and Reasoning, Proceeding of Second International Workshop, GKR 2011 - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Accéder directement au contenu
Ouvrages Année : 2012

Graph Structures for Knowledge Representation and Reasoning, Proceeding of Second International Workshop, GKR 2011

Madalina Croitoru
Sebastian Rudolph
  • Fonction : Directeur scientifique
  • PersonId : 908985
Nic Wilson
  • Fonction : Directeur scientifique
Howse John
  • Fonction : Directeur scientifique

Résumé

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2011, held in Barcelona, Spain, in July 2011 as satellite event of IJCAI 2011, the 22nd International Joint Conference on Artificial Intelligence. The 7 revised full papers presented together with 1 invited paper were carefully reviewed and selected from 12 submissions. The papers feature current research involved in the development and application of graph-based knowledge representation formalisms and reasoning techniques and investigate further developments of knowledge representation and reasoning graph based techniques. Topics addressed are such as: bayesian networks, semantic networks, conceptual graphs, formal concept analysis, cp-nets, gai-nets, euler diagrams, existential graphs all of which have been successfully used in a number of applications (semantic Web, recommender systems, bioinformatics etc.).
Fichier non déposé

Dates et versions

lirmm-00763674 , version 1 (11-12-2012)

Identifiants

  • HAL Id : lirmm-00763674 , version 1

Citer

Madalina Croitoru, Sebastian Rudolph, Nic Wilson, Howse John, Olivier Corby (Dir.). Graph Structures for Knowledge Representation and Reasoning, Proceeding of Second International Workshop, GKR 2011. Madalina Croitoru and Sebastian Rudolph and Nic Wilson and Howse John and Olivier Corby. Springer, 7205, pp.1-77, 2012, Lecture Notes in Computer Science, 978-3-642-29449-5. ⟨lirmm-00763674⟩
493 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More