Document (#35694)

Author

Osinska, V.
Bala, P.

Title

New methods for visualization and improvement of classification schemes : the case of computer science

Source

Knowledge organization. 37(2010) no.3, S.157-172

Year

2010

Abstract

Generally, Computer Science (CS) classifications are inconsistent in taxonomy strategies. t is necessary to develop CS taxonomy research to combine its historical perspective, its current knowledge and its predicted future trends - including all breakthroughs in information and communication technology. In this paper we have analyzed the ACM Computing Classification System (CCS) by means of visualization maps. The important achievement of current work is an effective visualization of classified documents from the ACM Digital Library. From the technical point of view, the innovation lies in the parallel use of analysis units: (sub)classes and keywords as well as a spherical 3D information surface. We have compared both the thematic and semantic maps of classified documents and results presented in Table 1. Furthermore, the proposed new method is used for content-related evaluation of the original scheme. Summing up: we improved an original ACM classification in the Computer Science domain by means of visualization.

Footnote

Vgl.: http://www.ergon-verlag.de/isko_ko/downloads/ko3720103b.pdf.

Theme

Visualisierung

Field

Informatik

Object

ACM classification

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