Document Processing and Retrieval

1. Front Matter

   Pages i-xiii

   PDF

2. Introduction

   • Qianhong Liu, Peter A. Ng

   Pages 1-7

3. Data Model and Algebra for Office Document

   • Qianhong Liu, Peter A. Ng

   Pages 9-54

4. Document Categorization

   • Qianhong Liu, Peter A. Ng

   Pages 55-96

5. Document Classification and Information Extraction

   • Qianhong Liu, Peter A. Ng

   Pages 97-145

6. Knowledge-Based Document Classification

   • Qianhong Liu, Peter A. Ng

   Pages 147-186

7. Document Retrieval

   • Qianhong Liu, Peter A. Ng

   Pages 187-200

8. Query Transformation

   • Qianhong Liu, Peter A. Ng

   Pages 201-218

9. Browser

   • Qianhong Liu, Peter A. Ng

   Pages 219-240

10. Generalizer

    • Qianhong Liu, Peter A. Ng

    Pages 241-285

11. Back Matter

    Pages 287-312

    PDF

Document Processing and Retrieval: TEXPROS focuses on the design and implementation of a personal, customizable office information and document processing system called TEXPROS (a TEXt PROcessing System). TEXPROS is a personal, intelligent office information and document processing system for text-oriented documents. This system supports the storage, classification, categorization, retrieval and reproduction of documents, as well as extracting, browsing, retrieving and synthesizing information from a variety of documents. When using TEXPROS in a multi-user or distributed environment, it requires specific protocols for extracting, storing, transmitting and exchanging information.
The authors have used a variety of techniques to implement TEXPROS, such as Object-Oriented Programming, Tcl/Tk, X-Windows, etc. The system can be used for many different purposes in many different applications, such as digital libraries, software documentation and information delivery.
Audience: Provides in-depth, state-of-the-art coverage of information processing and retrieval, and documentation for such professionals as database specialists, information systems and software developers, and information providers.

• classification
• database
• digital libraries
• document processing
• information
• information extraction
• information system
• knowledge
• programming

• New Jersey Institute of Technology, Newark, USA

  Qianhong Liu, Peter A. Ng

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