The Indexing Companion


Book Description

Indexes are created to help people find information. Indexers work hard to find the best words to describe the topics covered by their books and collections. This book is an aid to decision making in indexing. It aims to look at decisions that indexers have to make everyday. Many book indexers are created by professional indexers, but others are made by authors and editors. Indexing is part of their job for librarians, museum curators, technical writers and subject specialists. The book provides something of value for all indexers.







The Indexing Companion


Book Description

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 Companion


Book Description

Covers the basic principles of indexing, examines controversial areas and speculates on future directions.




The Complexity Theory Companion


Book Description

Here is an accessible, algorithmically oriented guide to some of the most interesting techniques of complexity theory. The book shows that simple algorithms are at the heart of complexity theory. The book is organized by technique rather than by topic. Each chapter focuses on one technique: what it is, and what results and applications it yields.




The Cambridge Companion to the History of the Book


Book Description

An accessible and wide-ranging study of the history of the book within local, national and global contexts.




The Index


Book Description




The Cambridge Companion to Sappho


Book Description

A detailed up-to-date survey of the most important woman writer from Greco-Roman antiquity. Examines the nature and context of her poetic achievement, the transmission, loss and rediscovery of her poetry, and the reception of that poetry in cultures far removed from ancient Greece, including Latin America, India, China, and Japan.




Companion to the Papers of Donald Knuth


Book Description

Donald E. Knuth's seminal publications, such as Selected Papers on Fun and Games and Selected Paper on the Design of Algorithms, have earned him a loyal following among scholars and computer scientists, and his award-winning textbooks have becomes classics that are often given credit for shaping the field. In this volume, he explains and comments on the changes he has made to his work over the last twenty years in response to new technologies and the evolving understanding of key concepts in computer science. His commentary is supplemented by a full bibliography of his works and a number of interviews with Knuth himself, which shed light on his professional life and publications, as well as provide interesting biographical details. A giant in the field of computer science, Knuth has assembled materials that offer a full portrait of both the scientist and the man. The final volume of a series of his collected papers, Companion to the Papers of Donald Knuth is essential for the Knuth completist.




Introduction to Information Retrieval


Book Description

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.