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This third edition of what has become a classic among textbooks in schools of library and information science (and related programs) has been thoroughly updated to reflect the evolving technological advancements in the field. Focusing on indexing of the subject matter of material, the beginning chapters review the literature and discuss various principles and practices such as exhaustivity or depth of indexing, specificity, checktags, pre- and post-coordinate indexes, and consistency and quality of indexing. Discussions on abstracting cover such concepts as the different types of abstracts, purpose of an abstract, structured versus narrative abstracts, informative versus indicative abstracts, subject slanting, modular abstracts, and writing and evaluating an abstract. Various styles of indexing used in printed publications such as Index Medicus, the Engineering Index, and Chemical Abstracts are illustrated in the text; although the author is quick to note that printed tools are used much less today in favor of their online counterparts. In the online world, indexing has even greater importance in the effort to retrieve relevant data efficiently. Related concepts such as weighted indexing, linking of terms, and relational indicators are discussed as aids to precision. The idiosyncrasies of indexing special formats such as images and sounds and the Internet, as well as the use of computer-generated or automated indexing and abstracting, are also reviewed. The author admits that the Web has become so large and complex that it is beyond the scope of any single book to explain all of its components. He suggests the use of Web-based services such as The Extreme Web Searcher's Internet Handbook News and Updates http://extremesearcher.com/news.html or Search Engine Watch http://searchenginewatch.com to keep current with new developments.
This book provides you with all the tools you need to write an excellent academic article and get it published.
Despite their changing role, abstracts remain useful in the digital world. Highly beneficial to information professionals and researchers who work and publish in different fields, this book summarizes the most important and up-to-date theory of abstracting, as well as giving advice and examples for the practice of writing different kinds of abstracts. The book discusses the length, the functions and basic structure of abstracts, outlining a new approach to informative and indicative abstracts. The abstractors' personality, their linguistic and non-linguistic knowledge and skills are also discussed with special attention. - Despite the relatively large number of textbooks on the topic there is no up-to-date book on abstracting in the English language - In addition to providing a comprehensive coverage of the topic, the proposed book contains novel views - especially on informative and indicative abstracts - The discussion is based on an interdisciplinary approach, blending the methods of library and information science and linguistics
Introduction to abstract interpretation, with examples of applications to the semantics, specification, verification, and static analysis of computer programs. Formal methods are mathematically rigorous techniques for the specification, development, manipulation, and verification of safe, robust, and secure software and hardware systems. Abstract interpretation is a unifying theory of formal methods that proposes a general methodology for proving the correctness of computing systems, based on their semantics. The concepts of abstract interpretation underlie such software tools as compilers, type systems, and security protocol analyzers. This book provides an introduction to the theory and practice of abstract interpretation, offering examples of applications to semantics, specification, verification, and static analysis of programming languages with emphasis on calculational design. The book covers all necessary computer science and mathematical concepts--including most of the logic, order, linear, fixpoint, and discrete mathematics frequently used in computer science--in separate chapters before they are used in the text. Each chapter offers exercises and selected solutions. Chapter topics include syntax, parsing, trace semantics, properties and their abstraction, fixpoints and their abstractions, reachability semantics, abstract domain and abstract interpreter, specification and verification, effective fixpoint approximation, relational static analysis, and symbolic static analysis. The main applications covered include program semantics, program specification and verification, program dynamic and static analysis of numerical properties and of such symbolic properties as dataflow analysis, software model checking, pointer analysis, dependency, and typing (both for forward and backward analysis), and their combinations. Principles of Abstract Interpretation is suitable for classroom use at the graduate level and as a reference for researchers and practitioners.