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Graph Structures for Knowledge Representation and Reasoning [[electronic resource] ] : 6th International Workshop, GKR 2020, Virtual Event, September 5, 2020, Revised Selected Papers / / edited by Michael Cochez, Madalina Croitoru, Pierre Marquis, Sebastian Rudolph



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Autore: Cochez Michael Visualizza persona
Titolo: Graph Structures for Knowledge Representation and Reasoning [[electronic resource] ] : 6th International Workshop, GKR 2020, Virtual Event, September 5, 2020, Revised Selected Papers / / edited by Michael Cochez, Madalina Croitoru, Pierre Marquis, Sebastian Rudolph Visualizza cluster
Pubblicazione: Springer Nature, 2021
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Edizione: 1st ed. 2021.
Descrizione fisica: 1 online resource (IX, 151 p. 54 illus., 26 illus. in color.)
Disciplina: 006.3
Soggetto topico: Artificial intelligence
Application software
Computer communication systems
Mathematical logic
Artificial Intelligence
Information Systems Applications (incl. Internet)
Computer Communication Networks
Mathematical Logic and Formal Languages
Soggetto non controllato: 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
Persona (resp. second.): CochezMichael
CroitoruMadalina
MarquisPierre
RudolphSebastian
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Graph Structures for Knowledge Representation and Reasoning  Visualizza cluster
ISBN: 3-030-72308-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996464442403316
Lo trovi qui: Univ. di Salerno
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Serie: Lecture Notes in Artificial Intelligence ; ; 12640