Search (10 results, page 1 of 1)

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Abstract

"Clearly details the conceptual and practical notions of controlled vocabularies. . provides a crash course for newcomers and offers experienced practitioners a common frame of reference. A valuable book." - Christine Connors, TriviumRLG LLC The Accidental Taxonomist is the most comprehensive guide available to the art and science of building information taxonomies. Heather Hedden-one of today's leading writers, instructors, and consultants on indexing and taxonomy topics-walks readers through the process, displaying her trademark ability to present highly technical information in straightforward, comprehensible English. Drawing on numerous real-world examples, Hedden explains how to create terms and relationships, select taxonomy management software, design taxonomies for human versus automated indexing, manage enterprise taxonomy projects, and adapt taxonomies to various user interfaces. The result is a practical and essential guide for information professionals who need to effectively create or manage taxonomies, controlled vocabularies, and thesauri. "A wealth of descriptive reference content is balanced with expert guidance. . Open The Accidental Taxonomist to begin the learning process or to refresh your understanding of the depth and breadth of this demanding discipline." - Lynda Moulton, Principal Consultant, LWM Technology Services "From the novice taxonomist to the experienced professional, all will find helpful, practical advice in The Accidental Taxonomist." - Trish Yancey, TCOO, Synaptica, LLC "This book squarely addresses the growing demand for and interest in taxonomy. ...Hedden brings a variety of background experience, including not only taxonomy construction but also abstracting and content categorization and creating back-of-the-book indexes. These experiences serve her well by building a broad perspective on the similarities as well as real differences between often overlapping types of work." - Marjorie M. K. Hlava, President and Chairman, Access Innovations, Inc., and Chair, SLA Taxonomy Division

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Abstract

Recent years have seen an explosive growth in the use of new database applications such as CAD/CAM systems, spatial information systems, and multimedia information systems. The needs of these applications are far more complex than traditional business applications. They call for support of objects with complex data types, such as images and spatial objects, and for support of objects with wildly varying numbers of index terms, such as documents. Traditional indexing techniques such as the B-tree and its variants do not efficiently support these applications, and so new indexing mechanisms have been developed.As a result of the demand for database support for new applications, there has been a proliferation of new indexing techniques. The need for a book addressing indexing problems in advanced applications is evident. For practitioners and database and application developers, this book explains best practice, guiding the selection of appropriate indexes for each application. For researchers, this book provides a foundation for the development of new and more robust indexes. For newcomers, this book is an overview of the wide range of advanced indexing techniques. "Indexing Techniques for Advanced Database Systems" is suitable as a secondary text for a graduate level course on indexing techniques, and as a reference for researchers and practitioners in industry.

Series

Kluwer international series on advances in database systems

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Abstract

The relationship between a person with a question and a source of information is complex. Indexing and abstracting often fail because too much emphasis is put on the mechanics of description, and too little has been given as to what ought to be represented. Research literature suggests that inappropriate representation results in failed searches a significant number of times, perhaps even in a majority of cases. "Doing Things with Information" seeks to rectify this unfortunate situation by emphasizing methods of modeling and constructing appropriate representations of such questions and documents. Students in programs of information studies will find focal points for discussion about system design and refinement of existing systems. Librarians, scholars, and those who work within large document collections, whether paper or electronic, will find insights into the strengths and weaknesses of the access systems they use.

Footnote

The authors state that this book emerged from a proposal to do a second edition of Explorations in Indexing and Abstracting (O'Connor 1996); much of its content is the result of the authors' reaction to the reviews of this first edition and their realization for "the necessity to address some more fundamental questions". Rez. in: KO 38(2011) no.1, S.62-64 (L.F. Spiteri): "This book provides a good overview of the relationship between the document and the user; in this regard, it reinforces the importance of the clientcentred approach to the design of document representation systems. In the final chapter, the authors state: "We have offered examples of new ways to think about messages in all sorts of media and how they might be discovered, analyzed, synthesized, and generated. We brought together philosophical, scientific, and engineering notions into a fundamental model for just how we might understand doing this with information" (p. 225). The authors have certainly succeeded in highlighting the complex processes, nature, and implications of document representation systems, although, as has been seen, the novelty of some of their discussions and suggestions is sometimes limited. With further explanation, the FOC model may serve as a useful way to understand how to build document representation systems to better meet user needs."; vgl.: http://www.ergon-verlag.de/isko_ko/downloads/ko_38_2011_1e.pdf.

LCSH

Information storage and retrieval systems / Design

Subject

Information storage and retrieval systems / Design

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Date

22. 4.2007 10:07:51

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Date

29. 5.2007 12:50:08

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Date

23. 7.2017 13:49:22

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Date

24. 8.2016 14:03:22

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Abstract

Subject analysis is the basis of all classifying and indexing techniques and is equally applicable to automatic and manual indexing systems. This book discusses subject analysis as an activity in its own right, independent of any indexing language. It examines the theoretical basis of subject analysis using the concepts of forms of knowledge as applicable to classification schemes.

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Date

24.11.2006 12:58:29