This book examines key issues in designing semantics-oriented natural language processing systems. A broad conceptual framework for describing structured meanings of NL-texts is obtained by defining a new class of formal languages called standard knowledge languages (SK-languages) using a system theoretical approach. Readers will gain knowledge of these languages and will learn a way of building semantic representations using them. With extensive use of examples and illustrations to clarify complex material and demonstrate practical applications, generous historical and bibliographical notes, end-of-chapter exercises, and glossaries, this book will serve as an ideal 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.
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Editorial Reviews
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From the reviews: “The book is focused on two areas of research. First of all, it offers theoretical insights into a recent research program concerned with the development of formal models and methodologies … . Second, and from a practical perspective, it puts forward efficient tools to develop semantic technologies … . The book provides interesting theoretical and practical guidance for overcoming the problems associated with the design of semantics-oriented natural language processing systems in different real-world fields, being thus a valuable source for experienced researchers … .” (Catalin Stoean, Zentralblatt MATH, Vol. 1195, 2010)
From the Back Cover
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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Format:Hardcover
There is irony in a book on natural language processing written in the impenetrable prose of a doctoral thesis. For example:
"Since the pioneer works of Montague [158-160] published in the beginning of the 1970s, the studies on developing formal semantics of natural language (NL) have been strongly influenced by the look at structuring the world suggested by mathematical logic, first of all, by first-order predicate logic.
However, it appears that a rich experience of constructing semantics-oriented natural language processing systems (NLPSs) accumulated since the middle of the 1970s provides weighty arguments in favor of changing the paradigm of formalizing NL semantics and, with this aim, placing this problem into the focus of interests of Systems Science."
Two paragraphs of effort for two sentences of information (that could have probably been left out entirely). This writing style is FAR too common in the linguistics field. In fairness, English is likely not the author's first language, but shouldn't that warrant the use of simpler clearer sentences?
I've got to separate the wheat from the chaff in this book before I can rate it fairly, so 3 stars for now.
"Since the pioneer works of Montague [158-160] published in the beginning of the 1970s, the studies on developing formal semantics of natural language (NL) have been strongly influenced by the look at structuring the world suggested by mathematical logic, first of all, by first-order predicate logic.
However, it appears that a rich experience of constructing semantics-oriented natural language processing systems (NLPSs) accumulated since the middle of the 1970s provides weighty arguments in favor of changing the paradigm of formalizing NL semantics and, with this aim, placing this problem into the focus of interests of Systems Science."
Two paragraphs of effort for two sentences of information (that could have probably been left out entirely). This writing style is FAR too common in the linguistics field. In fairness, English is likely not the author's first language, but shouldn't that warrant the use of simpler clearer sentences?
I've got to separate the wheat from the chaff in this book before I can rate it fairly, so 3 stars for now.
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