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Rules and Reasoning

8th International Joint Conference, RuleML+RR 2024, Bucharest, Romania, September 16-18, 2024, Proceedings

Medium: Buch
ISBN: 978-3-031-72406-0
Verlag: Springer
Erscheinungstermin: 15.09.2024
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This book constitutes the proceedings of the 8th International Joint Conference on Rules and Reasoning, RuleML+RR 2024, held in Bucharest, Romania, during September 16-18, 2024.
The 12 full papers and 4 short papers included in this book were carefully reviewed and selected from 35 submissions.
The RuleML+RR symposia were devoted to disseminating research, applications, languages, and standards for rule technologies, with attention to both theoretical and practical developments, to challenging new ideas and to industrial applications.


Produkteigenschaften


  • Artikelnummer: 9783031724060
  • Medium: Buch
  • ISBN: 978-3-031-72406-0
  • Verlag: Springer
  • Erscheinungstermin: 15.09.2024
  • Sprache(n): Englisch
  • Auflage: 2024
  • Serie: Lecture Notes in Computer Science
  • Produktform: Kartoniert, Paperback
  • Gewicht: 417 g
  • Seiten: 250
  • Format (B x H x T): 155 x 235 x 15 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

.- Using Answer Set Programming for Integrity Maintenance in a Smart Home System.
.- Collaborative Benchmarking Rule-Reasoners with B-Runner.
.- Rule Confidence Aggregation for Knowledge Graph Completion.
.- RIFF: Inducing Rules for Fraud Detection from Decision Trees.
.- Ontology-Based Update in Virtual Knowledge Graphs via Schema Mapping Recovery.
.- Reevaluation of Inductive Link Prediction.
.- Judicial Explanations.
.- OntoRaster: Extending VKGs with Raster Data.
.- Complete Approximations of Incomplete Queries.
.- Reasoning in Rough Description Logics with Multiple Indiscernibility Relations.
.- A Benchmark for Rule Induction in Automated Business Decisions.
.- Revising Defeasible Theories via Instructions.
.- FaithEL: Strongly Faithful Knowledge Base Embeddings for ELH.
.- RDF Surfaces as a First-Order language for the Semantic Web.
.- Ambiguities in Defeasible Logic: A computational efficient framework and algorithms.
.- Legally-Guided Automated Decision-Making System Using Language Model Agents for Autonomous Driving.