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A new technique for building maps of large scientific domains based on the co-citation of classes and categories

Authors
Publisher
Akademiai Kiado, Budapest and Kluwer Academic Publisher, Dordrecht
Publication Date
Keywords
  • Lq. Library Automation Systems.
  • Bg. Information Dissemination And Diffusion.
  • Ik. Design
  • Development
  • Implementation And Maintenance
  • Id. Knowledge Representation.
  • Bb. Bibliometric Methods.

Abstract

Our objective is the generation of schematic visualizations as interfaces for scientific domain analysis. We propose a new technique that uses thematic classification (classes and categories) as entities of co-citation and units of measure, and demonstrate the viability of this methodology through the representation and analysis of a domain of great dimensions. The main features of the maps obtained are discussed, and proposals are made for future improvements and applications.

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