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Autor(en): 
  • Vladimir Fomichov a
  • Semantics-Oriented Natural Language Processing: Mathematical Models and Algorithms 
     

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


    Übersicht

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    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  Dezember 2009  
    Genre:  Schulbücher 
    ISBN:  9780387729244 
    EAN-Code: 
    9780387729244 
    Verlag:  Springer Nature Singapore 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #27 - International Series on Systems Science and Engineering  
    Dimensionen:  H 243 mm / B 164 mm / D 28 mm 
    Gewicht:  647 gr 
    Seiten:  328 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book examines key issues in designing semantics-oriented natural language (NL) processing systems. One of the key features is an original strategy for transforming the existing World Wide Web into a new generation Semantic Web (SW-2) and the basic formal tools for its realization, which are proposed. The principal distinguishing feature of the proposed SW-2 is the well-developed ability of NL processing.

     A broad conceptual framework for describing structured meanings of NL-texts (sentences and arbitrarily complex discourses) is obtained by introducing a mathematical model describing 10 interrelated partial operations on conceptual structures. A new class of formal languages called standard knowledge languages (SK-languages) is defined. Readers will gain knowledge of these languages and learn a way of building semantic representations using them. 

    Additionally, a broadly applicable mathematical model of a linguistic database is constructed. A useful for practice and strongly structured multi-lingual algorithm of semantic-syntactic analysis of NL-texts is described by means of original formal concepts; the input texts can be sentences in English, Russian, and German.

    With extensive use of examples and illustrations to clarify complex material and demonstrate practical applications, many historical and bibliographical notes, end-of-chapter exercises, and glossaries, this book can serve as a graduate-level textbook, as well as a good reference for researchers and practitioners who deal with the various problems involving semantics of natural language texts, ontologies, Semantic Web, semantic data integration in e-science, and content languages in multi-agent systems, in particular, in e-commerce and e-health.

      
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