Brian C. O'Connor
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Customer Reviews:
Total reviews: 1
Average rating: 3.0 of 5
According to the author: computers 1, indexers 0 3 out of 5 stars.
5 of 8 people found this review helpful.
While the author tries to make an interesting case for computerized indexing, offering that it allows the user to become involved in the process by choosing depth of indexing, the book completely misinterprets the results that a good indexer can produce.
The author gave a test article (about 20 pages long) to an indexer, who came up with 7 or 8 search terms describing the index (the indexer did not produce a complete index to the article). The author compares his computer program, which is full of detailed instructions, plus the necessary human tweaking of the computer search results, with an indexer who was given no instructions at all.
It is patently obvious that any indexer told to "index this article as if it were a book chapter" would produce a much deeper, well thought out index than the seven search terms the author received for his "test" indexer.
In addition, because a computer program was used to produce this book's own index, there are a number of occasions where words are listed in the index simply because they show up on a particular page, not because they are an important topic on the page.
While the books presents an intestering description of computer indexing and makes some important points about including users in the process, its analyses of human indexers display a total lack of the value added service and intellectual decisions that good indexers produce on a regular basis. It is also obvious that the author knows little about indexing, as he otherwise would have known that a list of 7 subject descriptors does not an index make.
Editorial Review:
Indexing and abstracting often fail because too much emphasis is given to the mechanics of description and too little is given to what ought to be described. This text focuses on how people seek information. Drawing on a delightfully broad base of intellectual resources--from information theory and classic literature to Beethoven and MTV--the author considers the basic question of how we can index and abstract our information so that the user can actually find it. He also addresses the challenges and opportunities resulting from the information and technology explosion. O'Connor discusses the shortcomings of traditional indexing and abstracting systems and then presents essays, exercises, and case studies that foster consideration of the elements of a successful search in a variety of settings. Useful as a companion volume for reference, cataloging, and indexing and abstracting classes, this book is also of interest to professional librarians, information brokers, and online searchers.