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- Newsgroups: comp.databases.theory
- Path: sparky!uunet!zaphod.mps.ohio-state.edu!menudo.uh.edu!buster!hounix!dharper
- From: dharper@hounix.org (David Harper)
- Subject: Re: Intelligent Document Retrieval
- Message-ID: <1992Sep06.182634.3509@hounix.org>
- Organization: Houston UNIX Users Group (HOUNIX), Houston, TX
- References: <1992Sep4.154116.3662@arizona.edu>
- Distribution: world,local
- Date: Sun, 06 Sep 1992 18:26:34 GMT
- Lines: 94
-
- 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
-