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Developing of the Automatic Book Classification System in Biological, Botanical, and Zoological Field

Authors
Keywords
  • 문헌분류
  • 자동분류시스템
  • 데이터베이스
Disciplines
  • Biology
  • Design

Abstract

This paper reports on the development of an automatic book classification system (AutoBC) using the facet classification principles of CC. To conduct this study, some 1480 words in the biological, botanical, and zoological field were selected, analyzed in terms [P], [M], [E], [S], [T] employed in CC, and included in a database for classification. The principle of AutoBC is to create classification numbers automatically through automatic subject recognition and processing of key words in titles through the facet combination method of CC. Particularly, a classification database was designed along with a matrix-principle specifying the subject field for each word, which can allow automatic subject recognition possible.

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