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Taxonomy visualization in support of the semi-automatic validation and optimization of organizational schemas

Author

Listed:
  • Börner, Katy
  • Hardy, Elisha
  • Herr, Bruce
  • Holloway, Todd
  • Paley, W. Bradford

Abstract

Never before in history has mankind produced and had access to so much data, information, knowledge, and expertise as today. To organize, access, and manage these valuable assets effectively, we use taxonomies, classification hierarchies, ontologies, controlled vocabularies, and other approaches. We create directory structures for our files. We use organizational hierarchies to structure our work environment. However, the design and continuous update of these organizational schemas with potentially thousands of class nodes organizing millions of entities is challenging for any human being.

Suggested Citation

  • Börner, Katy & Hardy, Elisha & Herr, Bruce & Holloway, Todd & Paley, W. Bradford, 2007. "Taxonomy visualization in support of the semi-automatic validation and optimization of organizational schemas," Journal of Informetrics, Elsevier, vol. 1(3), pages 214-225.
    • Handle: RePEc:eee:infome:v:1:y:2007:i:3:p:214-225
    DOI: 10.1016/j.joi.2007.03.002
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    Cited by:

    1. Byungun Yoon & Sungjoo Lee & Gwanghee Lee, 2010. "Development and application of a keyword-based knowledge map for effective R&D planning," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 803-820, December.

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