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Graph Structures for Knowledge Representation and Reasoning: 6th International Workshop, GKR 2020, Virtual Event, September 5, 2020, Revised Selected Papers 1st ed. 2021 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 151 pages, height x width: 235x155 mm, weight: 454 g, 26 Illustrations, color; 28 Illustrations, black and white; IX, 151 p. 54 illus., 26 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Artificial Intelligence 12640
  • Izdošanas datums: 16-Mar-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030723070
  • ISBN-13: 9783030723071
  • Mīkstie vāki
  • Cena: 37,98 €*
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  • Formāts: Paperback / softback, 151 pages, height x width: 235x155 mm, weight: 454 g, 26 Illustrations, color; 28 Illustrations, black and white; IX, 151 p. 54 illus., 26 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Artificial Intelligence 12640
  • Izdošanas datums: 16-Mar-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030723070
  • ISBN-13: 9783030723071
This open access book constitutes the thoroughly refereed post-conference proceedings of the 6th International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence.

The 7 revised full papers presented together with 2 invited contributions were reviewed and selected from 9 submissions. The contributions address various issues for knowledge representation and reasoning and the common graph-theoretic background, which allows to bridge the gap between the different communities.

Extended Workshop Papers.- Active Semantic Relations in Layered Enterprise Architecture Development.- A Belief Update System Using an Event Model for Location of People in a Smart Home.- A Natural Language Generation Technique for Automated Psychotherapy.- Creative Composition Problem: A Knowledge Graph Logical-based AI Construction and Optimization Solution.- Set Visualisations with Euler and Hasse Diagrams.- Usage Patterns Identification Using Graphs and Machine Learning.- Collaborative Design and Manufacture: Information Structures for Team Formation and Coordination.- Invited Additional Contributions.- Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification.- Galois Connections for Patterns: An Algebra of Labelled Graphs.