Formation of categories in document classification systems

Sanjiv K. Bhatia, Jitender S. Deogun, Vijay V. Raghavan

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Information retrieval systems employ the classification of documents into various categories to facilitate retrieval. The problem of categorization depends on the successful solution to three subproblems: creation of categories, determining the relationship between categories, and maintenance of the categorization system. In existing document categorization systems, the categories are formed by using hit and trial methods. This increases the initial setup period for the system. The initial setup time is further affected by an empirical assignment of relationships between categories. In this paper, we propose a solution to the problem of developing categories by the application of techniques originating in knowledge acquisition. The approach is based on capturing the knowledge of a user to ensure continuity with the existing categorization system. The use of Personal Construct Theory for knowledge elicitation helps in making explicit the subconscious hierarchical relationships between various categories as perceived by the user.

Original languageEnglish (US)
Title of host publicationComputing in the 1990's - 1st Great Lakes Computer Science Conference, Proceedings
EditorsNaveed A. Sherwani, Elise de Doncker, John A. Kapenga
PublisherSpringer Verlag
Number of pages7
ISBN (Print)9780387976280
StatePublished - 1991
Event1st Great Lakes Computer Science Conference, 1989 - Kalamazoo, United States
Duration: Oct 18 1989Oct 20 1989

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume507 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other1st Great Lakes Computer Science Conference, 1989
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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