Graph Structures for Knowledge Representation and Reasoning

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If you make use of this material, you may credit the authors as follows:

Cochez Michael et al. (Editors), "Graph Structures for Knowledge Representation and Reasoning", Springer Nature, 2021, DOI: 10.1007/978-3-030-72308-8, License: https://creativecommons.org/licenses/by/4.0/

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.

Keywords

Artificial Intelligence, Information Systems Applications (incl. Internet), Computer Communication Networks, Mathematical Logic And Formal Languages, Computer And Information Systems Applications, Formal Languages And Automata Theory, Open Access, Concept Lattices, Data Mining, Databases, Fca, Formal Concept Analysis, Formal Languages, Formal Logic, Information Analysis, Information Systems, Knowledge-based System, Model-based Reasoning, Network Protocols, Ontologies, Information Retrieval, Internet Searching, Network Hardware, Mathematical Theory Of Computation

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