This updated book is intended primarily as a text to be used in teaching indexing and abstracting in schools of library and information science. It should also be of value to all individuals and institutions involved in training for information retrieval and related activities, including librarians, managers of information centres, and database producers.

Based on new research and years of practical experience, this guide presents the basic knowledge necessary to become a professional indexer. Synthesizing the thinking and experience of indexers and abstractors over the years, the book introduces readers to such fundamentals as the nature of information, the organization of information, vocabulary control, types of indexes and abstracts, evaluation of indexing, and the use of computers. A new chapter on indexing and the Internet has been added, as has a chapter that lists Web resources for indexers and abstractors. The work concludes with a discussion of the education, training, and job opportunities of the profession, as well as a look to the future. With its simple but thorough approach, this book provides readers with a broad overview of the professions, processes, and art of indexing and abstracting.

"Owen has pulled together into one source the major indexing and abstracting sources in science and technology." --MEDICAL LIBRARY ASSOCIATION BULLETIN

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.