Intelligent Document Retrieval

Exploiting Markup Structure

By: Udo Kruschwitz

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Hardcover | 24 October 2005

At a Glance

Hardcover
216 Pages

Dimensions(cm)
24.13 x 15.88 x 1.27

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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.

Industry 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)

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Foreword
Preface
List of Figures
List of Tables
Introduction
Introductory Examples
Using Markup to Extract Knowledge
Applying the Extracted knowledge
Structure of the Book
The Model
Related Work
Information Retrieval
Information Extraction
Clustering
Classification
Web Search Techniques
Ontologies
Layout Analysis
Web Search Studies
Navigating Concept Hierarchies
Dialogue Systems
Usability Issues
Concluding Remarks on Related Work
Data Analysis and Domain Model Construction
Documents
Concepts
A Domain Model Based on Concepts
Model Structure
Model Construction
Using the Model for Query Modification
Implementational Issues
Incorporating Additional Knowledge
Internal Knowledge
External Knowledge
A Dialogue System for Partially Structured Data
Dialogue as Movement in Space
Dialogue Example
Static vs. Dynamic Clusters
Real User Queries
Properties
Document Properties
System Properties
Goal Description
Dialogue
High Level Dialogue States
Low Level Dialogue States
Constructing Potential Choices
Dialogue Strategies
Customization
Practical Applications
UKSearch - Intelligent Web Search
Indexing Web Pages
The UKSearch System
Indexing and Model Construction
Dialogue Strategy
Sample Domain 1: Essex University
Index Tables
Domain Model
Concepts it vs. Real User Queries
Sample Domain 2: BBC News
Index Tables
Domain Model
Adjusted Dialogue Strategy
Implementational Issues
UKSearch - Evaluation and Discussion
Log Analysis
System Setup
Results
Discussion
Investigating Domain Model Relations
Task and Setup
Results
Discussion
Task-Based Evaluation: Essex University
Search Tasks
Experimental Setup
Procedure
Results
Discussion
Task-Based Evaluation: BBC News
Search Tasks
Experimental Setup and Procedure
Results
Discussion
YPA - Searching Classified Directories
System Overview
Indexing Classified Advertisements
Structure of the Backend
Domain Model Construction
Dialogue Strategy in the YPA
Properties
Dialogue Setup
Dialogue Function
Calculation of Potential Choices
Implementational Issues
Future Directions and Conclusions
Towards Evolving Domain Models
Dialogue Management
An Outlook on Future Evaluations
Conclusions
References
Index
Table of Contents provided by Publisher. All Rights Reserved.

Intelligent Document Retrieval

Exploiting Markup Structure

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

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