Intelligent Document Retrieval

Kruschwitz Udo

ISBN 10: 1402037678 / ISBN 13: 9781402037672

Published by Springer, 2005

About this Item

pp. 216 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Seller Inventory # 7559910

Bibliographic Details

• Title: Intelligent Document Retrieval
• Publisher: Springer
• Publication Date: 2005
• Language: English
• ISBN 10: 1402037678
• ISBN 13: 9781402037672
• Binding: Hardcover
• Condition: New

About this title

Synopsis

Collections of digital documents can nowadays be found everywhere in institutions, universities or companies. Examples are Web sites or intranets. But searching them for information can still be painful. Searches often return either large numbers of matches or no suitable matches at all.

Such document collections can vary a lot in size and how much structure they carry. What they have in common is that they typically do have some structure and that they cover a limited range of topics. The second point is significantly different from the Web in general.

The type of search system that we propose in this book can suggest ways of refining or relaxing the query to assist a user in the search process. In order to suggest sensible query modifications we would need to know what the documents are about. Explicit knowledge about the document collection encoded in some electronic form is what we need. However, typically such knowledge is not available. So we construct it automatically.

Review

From the reviews:

"The main idea of this book, based on the author’s PhD thesis, is to use markup information as a series of cues to the significance of words and concepts in a text, thus enhancing the indexing of that text. The technique is developed for collections of texts with a specific focus, such as a Web site or a collection of documents ... . The presented approach is attractive, because it can be adapted to different contexts in a straightforward manner ... ." (D. T. Barnard, Computing Reviews, July, 2006)