Semantics-Oriented Natural Language Processing

Mathematical Models and Algorithms

  • Vladimir¬†Fomichov A.

Part of the IFSR International Series on Systems Science and Engineering book series (IFSR, volume 27)

Table of contents

  1. Front Matter
    Pages i-xx
  2. A Comprehensive Mathematical Framework for the Development of Semantic Technologies

  3. Formal Methods and Algorithms for the Design of Semantics-Oriented Linguistic Processors

    1. Front Matter
      Pages 163-163
    2. Vladimir A. Fomichov
      Pages 165-184
    3. Vladimir A. Fomichov
      Pages 249-283
    4. Vladimir A. Fomichov
      Pages 285-297
  4. Back Matter
    Pages 1-29

About this book

Introduction

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.

Keywords

algorithms natural language natural language processing proof semantics system theorem

Authors and affiliations

  • Vladimir¬†Fomichov A.
    • 1
  1. 1.State UniversityFaculty of Business InformaticsMoskvaRussian Federation

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-72926-8
  • Copyright Information Springer Science+Business Media, LLC 2010
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-72924-4
  • Online ISBN 978-0-387-72926-8
  • Series Print ISSN 1574-0463
  • About this book