Text Retrieval Systems In Information Management

preview-18
  • Text Retrieval Systems In Information Management Book Detail

  • Author : G G Chowdhury
  • Release Date : 1996
  • Publisher : New Age International
  • Genre : Database management
  • Pages : 238
  • ISBN 13 : 9788122407600
  • File Size : 96,96 MB

Text Retrieval Systems In Information Management by G G Chowdhury PDF Summary

Book Description: This Book Aims At Helping The Reader Develop A Clear Under- Standing Of Text Retrieval Systems, Including Its Nature And Characteristics; Steps To Be Followed In Developing A Text Retrieval System; Software Packages Available For The Purpose; Guidelines For Choosing An Appropriate Software, And So On. To Make The Text Suitable For All Kinds Of Readers, Chapters And The Basics Of Database Technology, Database Management, And File Structures Appropriate For Text Retrieval Systems Have Been Provided. This Book Also Discusses The Major Features Of Library Management Systems (Lmss), The Software Packages Used For Automating Library House-Keeping Operations.The Trend Is To Developing Systems Which Can Provide The Actual Information Sought By The Use Rather Than Reference To The Information Sources Or Part Of The Text Where The Search Term Appears. Such Systems Apply Expert Systems And Natural Language Processing Techniques, And Are Called Knowledge-Based Systems (Kbss). This Book Describes Features Of These Systems And Mentions Some Of The Applications Of Kbss In Library And Information Activities.

Disclaimer: www.yourbookbest.com does not own Text Retrieval Systems In Information Management books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Text Data Management and Analysis

Text Data Management and Analysis

File Size : 98,98 MB
Total View : 3191 Views
DOWNLOAD

Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents,