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Reasoning Web. Declarative Artificial Intelligence: Knowledge, Rules, Logic : 19th International Summer School 2023 Oslo, Norway, September 21–24, 2023, Tutorial Lectures / edited by Marco Console, Boris Konev

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Computer Science ; 15400Publisher: Cham : Springer Nature Switzerland, 2025Publisher: Cham : Imprint: Springer, 2025Edition: 1st ed. 2025Description: 1 Online-Ressource(IX, 115 p. 17 illus., 10 illus. in color.)ISBN:
  • 9783031802836
Subject(s): Additional physical formats: 9783031802829 | 9783031802843 | Erscheint auch als: 9783031802829 Druck-Ausgabe | Erscheint auch als: 9783031802843 Druck-AusgabeDDC classification:
  • 005.115 23
DOI: DOI: 10.1007/978-3-031-80283-6Online resources: Summary: Compact Query Rewritings for Ontology-Based Query Answering -- Finite-Model Reasoning for Graph Queries and Description Logics -- Controlled Query Evaluation in Description Logic Ontologies -- Actively Learning from Machine Learning Models with Queries and Counterexamples -- Proof-Theoretic Approaches to Logical Argumentation.Summary: The purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers. The broad theme of this year's summer school was “Declarative Artificial Intelligence: Knowledge, Rules, Logic." The following eight lectures were presented during the school: Declarative AI for Industry: Methods, Applications, Trends; Ontologies vs Constraints; Termination of Reasoning; Compact Query Rewritings for Ontology Based Query Answering; Graph Queries and Description Logics; Controlled Query Evaluation in Description Logic Ontologies; Learning from Neural Networks with Queries and Counter Examples; and Proof-Theoretic Approaches in Logical Argumentation.PPN: PPN: 1916312969Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-LNC
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