Anyone who writes an up-to-date textbook of semantics has to be au fait with an extremely wide range of contemporary academic activity. John Lyons' new book demonstrates a remarkable ability to achieve such catholicity of expertise...

Anyone who writes an up-to-date textbook of semantics has to be au fait with an extremely wide range of contemporary academic activity. John Lyons' new book demonstrates a remarkable ability to achieve such catholicity of expertise...

No detailed description available for "SEMANTICS (MAIENBORN ET AL.) BD. 33.1 HSK E-BOOK".

V.1 concept structuring systems -- V.2 Typology and process in concept structuring.

This successor to Language, Meaning and Context provides an invaluable introduction to linguistic semantics.

First published in 1981. Routledge is an imprint of Taylor & Francis, an informa company.

Presents, in simple and clear terms, the way in which humans express their ideas by talking.

This series provides approachable, yet authoritative, introductions to all the major topics in linguistics. Ideal for students with little or no prior knowledge of linguistics, each book carefully explains the basics, emphasising understanding of the essential notions rather than arguing for a particular theoretical position. Understanding Semantics offers a complete introduction to linguistic semantics. The book takes a step-by-step approach, starting with the basic concepts and moving through the central questions to examine the methods and results of the science of linguistic meaning. Understanding Semantics unites the treatment of a broad scale of phenomena using data from different languages with a thorough investigation of major theoretical perspectives. It leads the reader from their intuitive knowledge of meaning to a deeper understanding of the use of scientific reasoning in the study of language as a communicative tool, of the nature of linguistic meaning, and of the scope and limitations of linguistic semantics. Ideal as a first textbook in semantics for undergraduate students of linguistics, this book is also recommended for students of literature, philosophy, psychology and cognitive science.

An introduction to natural language semantics that offers an overview of the empirical domain and an explanation of the mathematical concepts that underpin the discipline. This textbook offers a comprehensive introduction to the fundamentals of those approaches to natural language semantics that use the insights of logic. Many other texts on the subject focus on presenting a particular theory of natural language semantics. This text instead offers an overview of the empirical domain (drawn largely from standard descriptive grammars of English) as well as the mathematical tools that are applied to it. Readers are shown where the concepts of logic apply, where they fail to apply, and where they might apply, if suitably adjusted. The presentation of logic is completely self-contained, with concepts of logic used in the book presented in all the necessary detail. This includes propositional logic, first order predicate logic, generalized quantifier theory, and the Lambek and Lambda calculi. The chapters on logic are paired with chapters on English grammar. For example, the chapter on propositional logic is paired with a chapter on the grammar of coordination and subordination of English clauses; the chapter on predicate logic is paired with a chapter on the grammar of simple, independent English clauses; and so on. The book includes more than five hundred exercises, not only for the mathematical concepts introduced, but also for their application to the analysis of natural language. The latter exercises include some aimed at helping the reader to understand how to formulate and test hypotheses.

These are exciting times in the fields of Fuzzy Logic and the Semantic Web, and this book will add to the excitement, as it is the first volume to focus on the growing connections between these two fields. This book is expected to be a valuable aid to anyone considering the application of Fuzzy Logic to the Semantic Web, because it contains a number of detailed accounts of these combined fields, written by leading authors in several countries. The Fuzzy Logic field has been maturing for forty years. These years have witnessed a tremendous growth in the number and variety of applications, with a real-world impact across a wide variety of domains with humanlike behavior and reasoning. And we believe that in the coming years, the Semantic Web will be major field of applications of Fuzzy Logic. This book, the first in the new series Capturing Intelligence, shows the positive role Fuzzy Logic, and more generally Soft Computing, can play in the development of the Semantic Web, filling a gap and facing a new challenge. It covers concepts, tools, techniques and applications exhibiting the usefulness, and the necessity, for using Fuzzy Logic in the Semantic Web. It finally opens the road to new systems with a high Web IQ. Most of today's Web content is suitable for human consumption. The Semantic Web is presented as an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. For example, within the Semantic Web, computers will understand the meaning of semantic data on a web page by following links to specified ontologies. But while the Semantic Web vision and research attracts attention, as long as it will be used two-valued-based logical methods no progress will be expected in handling ill-structured, uncertain or imprecise information encountered in real world knowledge. Fuzzy Logic and associated concepts and techniques (more generally, Soft Computing), has certainly a positive role to play in the development of the Semantic Web. Fuzzy Logic will not supposed to be the basis for the Semantic Web but its related concepts and techniques will certainly reinforce the systems classically developed within W3C. In fact, Fuzzy Logic cannot be ignored in order to bridge the gap between human-understandable soft logic and machine-readable hard logic. None of the usual logical requirements can be guaranteed: there is no centrally defined format for data, no guarantee of truth for assertions made, no guarantee of consistency. To support these arguments, this book shows how components of the Semantic Web (like XML, RDF, Description Logics, Conceptual Graphs, Ontologies) can be covered, with in each case a Fuzzy Logic focus. - First volume to focus on the growing connections between Fuzzy Logic and the Semantic Web - Keynote chapter by Lotfi Zadeh - The Semantic Web is presently expected to be a major field of applications of Fuzzy Logic - It fills a gap and faces a new challenge in the development of the Semantic Web - It opens the road to new systems with a high Web IQ - Contributed chapters by Fuzzy Logic leading experts