Essential classification

Classification is an essential skill for all information workers but a difficult concept to grasp - and it's even more difficult to put that theory into practice. This practical guide shows the reader how to go about classifying a document from scratch. Essential Classification guides the novice cataloguer through the practice of subject cataloguing, with an emphasis on practical document analysis and classification. It deals with fundamental questions as to the purpose of classification in different situations, and the needs and expectations of end users. The reader is introduced to the ways in which document content can be assessed, and how this can best be expressed for translation into the language of specific indexing and classification systems. The characteristics of the major general schemes of classification (LCC, DDC, UDC and BC1) are discussed and their suitability for different classification needs. Some basic issues of theory are included to support practical considerations. The emphasis in the chapters on the major classification schemes is on the practical application of those schemes. Key areas discussed are: the purpose of classification / the rightness of classification / controlled indexing languages concept based retrieval and word based retrieval / the structure of classification / varieties of classification 1: the enumerative scheme / varieties of classification 2: the analytico-synthetic scheme / varieties of classification 3: the faceted scheme / management aspects of classification / the need for classification. After reading this book the novice cataloguer will understand the purpose of classification, will be able to choose the best classification scheme to use for their purposes and will have practical experience of the application of those schemes using real documents, practical exercises and worked examples. Readership: This is essential reading for library school students, novice cataloguers and all information workers who need to classify but have not formally been taught how. The book also offers practical guidance to those concerned with the design and maintenance of subject tools: computer scientists, and information and intranet managers.--

Machine generated contents note: 1. Introduction -- 2. The need for classification -- 3. First principles of classification -- Grouping -- ordering -- compound subjects -- problems of linear order -- citation order -- distributed relatives -- 4. The variety of classification: systems and structures -- Scientific classifications -- taxonomies -- tree structures -- folk classifications -- bibliographic classifications -- aspect classifications -- 5. The classification scheme: internal structure -- Grouping of concepts -- hierarchy -- semantic relationships -- syntactic relationships -- pre-coordination -- 6. Types of classification scheme -- Enumerative classifications -- `top-down' classifications -- analytico-synthetic classifications -- faceted classifications -- `bottom up' classifications -- 7. Order in the classification scheme -- Main classes -- phenomena classes -- main class order -- schedule order and filing order -- general-before-special.

Note continued: literary warrant and educational consensus -- notation -- notational symbols -- expressiveness -- mnemonics -- flexibility and hospitality -- 8. Content Analysis I : Document Description -- The problem of `aboutness' --…