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Graph-Based Representation and Reasoning: 28th International Conference on Conceptual Structures, ICCS 2023, Berlin, Germany, September 11–13, 2023, Proceedings de Manuel Ojeda-Aciego

Graph-Based Representation and Reasoning: 28th International Conference on Conceptual Structures, ICCS 2023, Berlin, Germany, September 11–13, 2023, Proceedings: Lecture Notes in Computer Science, cartea 14133

Editat de Manuel Ojeda-Aciego, Kai Sauerwald, Robert Jäschke
en Limba Engleză Paperback – 16 aug 2023
This book constitutes the refereed deadline proceedings of the 28th International Conference on Graph-Based Representation and Reasoning, ICCS 2023, held in Berlin, Germany, during September 11–13, 2023.

The 9 full papers, 5 short papers and 4 Posters are included in this book were carefully reviewed and selected from 32 submissions. They were organized in topical sections as follows: Complexity and Database Theory, Formal Concept Analysis: Theoretical Advances, Formal Concept Analysis: Applications, Modelling and Explanation, Semantic Web and Graphs, Posters.
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Specificații

ISBN-13: 9783031409592
ISBN-10: 3031409590
Ilustrații: XVIII, 206 p. 63 illus., 34 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.33 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Cham, Switzerland

Cuprins

Complexity and Database Theory.- Functional Dependencies with Predicates: What Makes the g3-error Easy to Compute?.- Formal Concept Analysis: Theoretical Advances.- Squared symmetric formal contexts and their connections with correlation matrices.- Aggregation Functions and Extent Structure Preservation in Formal Concept Analysis.- On pseudointents in Fuzzy Formal Concept Analysis.- Maximal Ordinal Two-Factorizations.- A Note on the Number of (Maximal) Antichains in the Lattice of set Partitions.- Formal Concept Analysis: Applications.- Formal Concept Analysis for Trace Clustering in Process Mining.- Summarization of massive RDF graphs using identifier classification.- Towards a Flexible and Scalable Data Stream Algorithm in FCA.- Modelling and Explanation.- Postmodern Human-Machine Dialogues: a Pedagogical Inquiry Experiment.- Conceptual Modelling with Euler+ Diagrams.- Automatic Textual Explanations of Concept Lattices.- Semantic Web and Graphs.- Ontology Population from French Classified Ads.- Graph Extraction for Assisting Crash Simulation Data Analysis.- Posters.- Factorization of formal contexts from modal operators.- Towards confirmation measures to mixed attribute implications.- Concept lattices as a reduction tool for fuzzy relation equations.- Analysis of Slovak Court Decisions by Formal Concept Analysis and Machine Learning Methods.