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Intelligent Document Retrieval : Exploiting Markup Structure

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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
PublishedOn
2010-10-28
Title
Intelligent Document Retrieval : Exploiting Markup Structure
Artist
Not Specified
ISBN
9789048169573

About this product

Product Identifiers

Publisher
Springer Netherlands
ISBN-10
9048169577
ISBN-13
9789048169573
eBay Product ID (ePID)
109237528

Product Key Features

Number of Pages
Xvi, 198 Pages
Language
English
Publication Name
Intelligent Document Retrieval : Exploiting Markup Structure
Subject
Programming Languages / General, Intelligence (Ai) & Semantics, Computer Science, General, Web / Search Engines, System Administration / Storage & Retrieval, Document Management
Publication Year
2010
Type
Textbook
Author
Udo Kruschwitz
Subject Area
Computers
Series
The Information Retrieval Ser.
Format
Trade Paperback

Dimensions

Item Weight
16 Oz
Item Length
9.4 in
Item Width
6.3 in

Additional Product Features

Intended Audience
Scholarly & Professional
Reviews
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), 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)
Dewey Edition
22
Series Volume Number
17
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
025.04
Table Of Content
Related Work.- Data Analysis and Domain Model Construction.- Incorporating Additional Knowledge.- A Dialogue System for Partially Structured Data.- UKSearch - Intelligent Web Search.- UKSearch - Evaluation and Discussion.- YPA - Searching Classified Directories.- Future Directions and Conclusions.
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 documents on 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. This book describes how that knowledge can be contructed automatically. This book demonstrates how document markup structure can be used to construct domain models for collections of partially structured documents shows how such knowledge can be utilized when searching the document collections presents two implemented search systems which demonstrate the usefulness of this approach., 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.
LC Classification Number
QA75.5-76.95

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