Automatic cluster assignment for documents

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

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

4 Scopus citations

Abstract

The authors report a knowledge-based approach to classification. The proposed methodology uses personal construct theory for interviewing a domain expert to elicit classification knowledge. This interview results in raw data, which, on analysis, yields the relationship between different concepts from a user perspective. After finding the relationships, the user is asked to delineate the boundaries which enclose like concepts. With such a grouping of concepts, the authors develop a methodology to establish a relationship between the concepts and the index terms constituting document representations. This relationship is employed to assign a document to the most appropriate cluster. The knowledge elicited from the expert is mapped to system observable features of documents to develop a classification. The techniques developed are experimentally validated.

Original languageEnglish (US)
Title of host publicationProceedings of the Conference on Artificial Intelligence Applications
PublisherPubl by IEEE
Pages25-28
Number of pages4
ISBN (Print)0818621354
StatePublished - Feb 1990
Externally publishedYes
EventProceedings of the 7th IEEE Conference on Artificial Intelligence Applications - Miami Beach, FL, USA
Duration: Feb 24 1991Feb 28 1991

Publication series

NameProceedings of the Conference on Artificial Intelligence Applications

Other

OtherProceedings of the 7th IEEE Conference on Artificial Intelligence Applications
CityMiami Beach, FL, USA
Period2/24/912/28/91

ASJC Scopus subject areas

  • Software

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