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Graph Structures for Knowledge Representation and Reasoning
- Publication Year :
- 2021
- Publisher :
- Springer Nature; Springer, 2021.
-
Abstract
- 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.
- Subjects :
- 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
bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence
bic Book Industry Communication::U Computing & information technology::UN Databases::UNH Information retrieval
bic Book Industry Communication::U Computing & information technology::UK Computer hardware::UKN Network hardware
bic Book Industry Communication::U Computing & information technology::UY Computer science
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-030-72308-8
3-030-72308-9 - ISBNs :
- 9783030723088 and 3030723089
- Database :
- OAPEN Library
- Notes :
- ONIX_20210420_9783030723088_37, , https://www.springer.com/9783030723088
- Publication Type :
- eBook
- Accession number :
- edsoap.20.500.12657.48251
- Document Type :
- book
- Full Text :
- https://doi.org/10.1007/978-3-030-72308-8