From: dharper@hounix.org (David Harper)
Subject: Re: Intelligent Document Retrieval
Organization: Houston UNIX Users Group (HOUNIX), Houston, TX
Distribution: world,local
Date: Sun, 06 Sep 1992 18:26:34 GMT

In article <1992Sep4.154116.3662@arizona.edu> jkim@ece.arizona.edu (Jinwoo Kim) writes:
>Dear Netters,
>
>Does anyone have information about intelligent(?) document
>retrieval?  If the user provides a set of documents,
>it searches data base or document base using keywords and
>find more documents which are relevant to the user input
>document. It seems to me that Semantic Net or Neural Net
>can be solved this problem (even Genetic Algorithm).
>
>Any comments/references are very much welcomed!
>
>Thanks a lot in advances
>
>      Emil:      jkim@helios.ece.arizona.edu
>

The following books contain detailed information about 
advanced information retrieval techniques. Both have 
extensive bibliographies.

Information Retrieval: Data Structures & Algorithms
Edited by William B. Frakes and Ricardo Baeza-Yates
504 pages. Prentice Hall, 1992
An estimated 140 pages of C code.
$52.00

From the back cover:

"A comprehensive guide to the latest information retrieval 
technology. This book presents fundamental and advanced 
procedures for implementing information storage and 
retrieval systems. It also evaluates and describes IR data 
structures and algorithms, discusses relevant empirical 
studies, and includes C implementations of the most 
important algorithms."

Table of Contents

 1. Introduction to Information Storage and Retrieval 
    Systems
 2. Introduction to Data Structures and Algorithms Related 
    to Information Retrieval
 3. Inverted Files
 4. Signature Files
 5. New Indices for Text: PAT Trees and PAT Arrays
 6. File Organizations for Optical Disks
 7. Lexical Analysis and Stoplists
 8. Stemming Algorithms
 9. Thesaurus Construction
10. String Searching Algorithms
11. Relevance Feedback and Other Query Modification 
    Techniques
12. Boolean Operations
13. Hashing Algorithms
14. Ranking Algorithms
15. Extending Boolean Methods
16. Clustering Algorithms
17. Special-Purpose Hardware for Information Retrieval
18. Parallel Information Retrieval Algorithms


Automatic Text Processing: The Transformation, Analysis, and 
Retrieval of Information by Computer
by Gerard Salton
530 pages. Addison-Wesley, 1989

From the back cover:

"... This comprehensive book examines the field of automatic 
text processing as a whole, drawing examples from such 
related areas as word processing, database management, 
information retrieval, and natural language understanding. 
[...] This book is an excellent reference for all users of 
text processing systems and for designers of text processing 
routines."

Table of Contents

 1. The Information Environment
 2. The Computer Environment
 3. The Automated Office
 4. Text Editing and Formatting
 5. Text Compression
 6. Text Encryption
 7. File-Accessing Systems
 8. Conventional Text-Retrieval Systems
 9. Automatic Indexing
10. Advanced Information-Retrieval Models
11. Language Analysis and Understanding
12. Automatic Text Transformations
13. Paperless Information Systems

Regards, David Harper      dharper@hounix.org