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Automatic Indexing and Abstracting of Document Texts summarizes the latest techniques of automatic indexing and abstracting, and the results of their application. It also places the techniques in the context of the study of text, manual indexing and abstracting, and the use of the indexing descriptions and abstracts in systems that select documents or information from large collections. Important sections of the book consider the development of new techniques for indexing and abstracting. The techniques involve the following: using text grammars, learning of the themes of the texts including the identification of representative sentences or paragraphs by means of adequate cluster algorithms, and learning of classification patterns of texts. In addition, the book is an attempt to illuminate new avenues for future research. Automatic Indexing and Abstracting of Document Texts is an excellent reference for researchers and professionals working in the field of content management and information retrieval.
This updated version of the popular classic defines terms used in writings on abstracting, indexing, classification, and thesaurus construction, as well as terms for the most common types of documents and their parts.
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.