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The Indexing Companion, first published in 2007, gives an overview of indexing for professional indexers, editors, authors, librarians and others who may be called upon to write, contribute to, edit or commission an index. It covers basic principles as well as examining controversial areas. It is based on publishing standards, textbooks, and the consensus of the indexing community, gained from participation in various mailing lists. It discusses a wide range of document formats and subjects that require indexing, as well as dipping into new topics on the edge of indexing such as folksonomies and the semantic web. Some people consider indexing to be a dry topic - at the end of this book people should be thinking of indexing as a challenging and rewarding profession.

Indexing. --- Indexing --- Books --- Index preparation --- Preparation of indexes --- Subject analysis --- Information organization --- Filing systems

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Abstracts --- Computational linguistics --- Information resources management --- Information technology --- Abstracting and indexing

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2007 CHOICE Outstanding Academic TitleIn this highly original book, anthropologist F. Allan Hanson reveals an entirely unanticipated but vital link between two of the most widely discussed features of contemporary American society: the computer revolution and the culture wars. Hanson argues that the culture wars stem from a divergence in the evolutionary paths of society and culture. Societies have evolved significantly over the last few millennia from small bands of farmers or hunter-gatherers into huge, internally diverse nation-states, while cultures—the closed systems of meanings and symbols that kept small, face-to-face societies together—have failed to keep pace. If cultures became more open, Hanson contends, then the maladaptive rupture between society and culture would be healed and the clashes that currently beset us would be greatly diminished. Interweaving lucid analysis with concrete case studies of common law, education, and other areas of contemporary life, Hanson demonstrates how the widespread use of computers is, in fact, encouraging more originality and open-mindedness, with the potential to ease polarization and calm the culture wars.

Indexing --- Classification --- Culture. --- Information technology --- Books --- Index preparation --- Preparation of indexes --- Subject analysis --- Information organization --- Filing systems --- Knowledge, Classification of --- Cultural sociology --- Culture --- Sociology of culture --- Civilization --- Popular culture --- Social aspects. --- Social aspects --- Technologie de l'information --- Indexation --- Aspect social

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This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. The book is unique in the sense of describing how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries, and it demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks. It provides a balanced mixture of theories, algorithms and applications, and in particular results from the bioinformatics and Web intelligence domains. This book will be useful to graduate students and researchers in computer science, electrical engineering, systems science, and information technology, both as a text and reference book. Researchers and practitioners in industry working in system design, control, pattern recognition, data mining, soft computing, bioinformatics and Web intelligence will also benefit.

Pattern perception. --- Machine learning. --- Genetic algorithms. --- Automatic classification. --- GAs (Algorithms) --- Genetic searches (Algorithms) --- Algorithms --- Combinatorial optimization --- Evolutionary computation --- Genetic programming (Computer science) --- Learning classifier systems --- Learning, Machine --- Artificial intelligence --- Machine theory --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Automatic indexing --- Classification --- Information storage and retrieval systems --- Optical pattern recognition. --- Computer science. --- Telecommunication. --- Artificial intelligence. --- Bioinformatics. --- Pattern Recognition. --- Programming Techniques. --- Communications Engineering, Networks. --- Artificial Intelligence. --- Complex Systems. --- Computational Biology/Bioinformatics. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Informatics --- Science --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Data processing --- Pattern recognition. --- Computer programming. --- Electrical engineering. --- Statistical physics. --- Dynamical systems. --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Mathematical statistics --- Electric engineering --- Engineering --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Statistical methods --- Programming --- Pattern recognition systems. --- System theory. --- Automated Pattern Recognition. --- Computational and Systems Biology. --- Systems, Theory of --- Systems science --- Pattern classification systems --- Pattern recognition computers --- Computer vision --- Philosophy