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Autor(en): 
  • Marcin Pietranik
  • Formal Methods for Managing and Processing Ontology Alignments 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Vorankündigung
    Veröffentlichung:  ANGEKÜNDIGT (Juli 2027)  
    Genre:  Wirtschaft / Recht 
     
    advanced ontology mapping techniques / alignment evaluation methods / attribute semantics / Automatic control engineering / Coding theory & cryptology / Coding theory and cryptology / COMPUTERS / Artificial Intelligence / Expert Systems / Digital and Information technology# general topics
    ISBN:  9781032571201 
    EAN-Code: 
    9781032571201 
    Verlag:  Taylor and Francis 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 254 mm / B 178 mm / D  
    Gewicht:  390 gr 
    Seiten:  193 
    Illustration:  schwarz-weiss Illustrationen, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss 
    Bewertung: Keine Bewertung vor Veröffentlichung möglich.
    Inhalt:

    Ontologies are formal knowledge representation methods that can provide means for a shared understanding of a given domain. To enable meaningful communication and interoperability between two or more information systems that utilize independently created ontologies, a bridge between them is necessary, often referred to as an ontology alignment. Formal Methods for Managing and Processing Ontology Alignments provides complete ontology alignment lifecycle, including modelling, methods, and maintenance processes.

    Summarizing the author's research from the past ten years, this book consolidates findings previously published in prestigious international journals and presented at leading conferences. Each chapter is designed to be self-contained, allowing readers to approach the material modularly. The text introduces basic mathematical concepts, and later chapters build upon these foundations, but each focuses on specific aspects of ontology alignment, making the content accessible and easy to follow.

    Key Features

    • Includes formal definitions of ontologies and ontology alignment along with a set of methods for providing semantics of attributes and relations.
    • Provides application of fuzzy logic in the task of ontology alignment.
    • Contains methods of managing the evolution of ontologies and their alignments.
    • Proposes novel methods of assessing the quality ontology alignment.

    Situated in the fields of knowledge representation and semantic technologies, this book is an invaluable resource for both academic researchers and practitioners, as well as students looking to deepen their understanding.

      



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