Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12640)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: GKR 2020.
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Table of contents (9 papers)
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Front Matter
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Extended Workshop Papers
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Front Matter
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Invited Additional Contributions
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Front Matter
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Back Matter
Other volumes
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Graph Structures for Knowledge Representation and Reasoning
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Graph Structures for Knowledge Representation and Reasoning
Book Subtitle: 6th International Workshop, GKR 2020, Virtual Event, September 5, 2020, Revised Selected Papers
Editors: Michael Cochez, Madalina Croitoru, Pierre Marquis, Sebastian Rudolph
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-72308-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2021
Softcover ISBN: 978-3-030-72307-1Published: 16 March 2021
eBook ISBN: 978-3-030-72308-8Published: 15 March 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 151
Number of Illustrations: 28 b/w illustrations, 26 illustrations in colour
Topics: Artificial Intelligence, Information Systems Applications (incl. Internet), Computer Communication Networks, Mathematical Logic and Formal Languages