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Weitersagen:


Herausgeber: 
  • Ivan Varzinczak
  • Mantas ¿Imkus
  • Reasoning Web. Declarative Artificial Intelligence: 17th International Summer School 2021, Leuven, Belgium, September 8-15, 2021, Tutorial Lectures 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  Februar 2022  
    Genre:  EDV / Informatik 
     
    angewandte informatik / beliefrevision / Databases / ExplainableArtificialIntelligence / formallanguages / formallogic / GraphDatabases / Knowledge-basedsystem
    ISBN:  9783030954802 
    EAN-Code: 
    9783030954802 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 11 mm 
    Gewicht:  306 gr 
    Seiten:  196 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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 again "Declarative Artificial Intelligence" and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Foundations of Graph Path Query Languages; On Combining Ontologies and Rules; Modelling Symbolic Knowledge Using Neural Representations; Mining the Semantic Web with Machine Learning: Main Issues That Need to Be Known; Temporal ASP: From Logical Foundations to Practical Use with telingo; A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs; and Score-Based Explanations in Data Management and Machine Learning.

      



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