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Multi-view of the ACM classification system

Published: 10 June 2012 Publication History

Abstract

The ACM Computing Classification System (CCS) is a hierarchical classification system used to index and classify all the published literature of ACM. They reflect major areas and topics of the computing field and they often serve as an overview and navigational guide to the field. However, similar to all the traditional classification systems and subject domain thesauri, such an overview and navigational guide is static and sketchy, representing only a top-down representation of a domain. In this paper, we look into a 10-year period of ACM literature and examine how the CCS terms are actually used in the ACM digital library and how the patterns of term usages show different term relationships than those defined in the CCS. By comparing the dynamic statistical patterns of term usage with the static hierarchical structures of the terms, we show that much can be gained by integrating both of them into an interactive interface to provide better overview maps and navigational guides to the domain of computing.

References

[1]
ACM CCS. (n.d.). The 1998 ACM Computing Classification System. Available at: http://www.acm.org/about/class/ccs98-html
[2]
ACM. (n.d.) Introduction to the ACM Computing Classification System {1998 Version}. Available at: http://www.acm.org/about/class/ccs98-intro
[3]
Coulter, N. et al. (1998). Computing Classification system 1998: Current status and future maintenance report of the CCS update committee. Computing Reviews, (January 1998). Available at: http://www.acm.org/about/class/ccsup.pdf
[4]
Schvaneveldt, R. W. (1990). Properties of Pathfinder Networks. Pathfinder Associative Networks: Studies in Knowledge Organization. Ablex Pub.

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cover image ACM Conferences
JCDL '12: Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
June 2012
458 pages
ISBN:9781450311540
DOI:10.1145/2232817

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 June 2012

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  1. classification systems
  2. co-occurrence analysis
  3. visual interfaces

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