"Semantics-Oriented Natural Language Processing: Mathematical Models and Algorithms" by Vladimir Fomichov
North American branch of Springer publishing house has published a book by Vladimir Fomichov, Professor of the HSE Department of Innovations and Information Technologies Business.
Vladimir A. Fomichov. Semantics-Oriented Natural Language Processing:Mathematical Models and Algorithms;Series:IFSR International Series on Systems Science and Engineering, Vol. 27, 2010, Springer:New York, Dordrecht, Heidelberg, London, 354 p. 20 illus., Hardcover.
ISBN:978-0-387-72924-4.
Online version of the book is available in the HSE electronic library.
About this textbook
- Substantially formal treatment of issues for designers of natural language processing systems
- Presents an in-depth treatment of NL semantics and a mathematical model of a linguistics database
- Extensive use of examples and illustrations to clarify complex material and demonstrate practical applications
- End-of-chapter exercises, historical and bibliographical notes, and glossaries enrich the text
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.
Written for:graduate students, researchers and practitioners.