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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…mehr

Produktbeschreibung
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, bioinformaticsetc.).
Autorenporträt
Sebastian Rudolph, geboren 1968, spielte nach seinem Schauspielstudium an verschiedenen Bühnen, darunter das Schauspielhaus Zürich. Weitere Engagements führten ihn nach Basel, Wien, Hamburg und Berlin. In Christoph Schlingensiefs Hamlet spielte er die Hauptrolle. Seit 2009 ist er am Hamburger Thalia Theater engagiert. Darüber hinaus wirkte Sebastian Rudolph in erfolgreichen Kinofilmen wie Manta - Der Film und Der englische Patient mit.