Concept maps: integrating knowledge and information visualization

  • Authors:
  • Alberto J. Cañas;Roger Carff;Greg Hill;Marco Carvalho;Marco Arguedas;Thomas C. Eskridge;James Lott;Rodrigo Carvajal

  • Affiliations:
  • Institute for Human and Machine Cognition, Pensacola, FL;Institute for Human and Machine Cognition, Pensacola, FL;Institute for Human and Machine Cognition, Pensacola, FL;Institute for Human and Machine Cognition, Pensacola, FL;Institute for Human and Machine Cognition, Pensacola, FL;Institute for Human and Machine Cognition, Pensacola, FL;Institute for Human and Machine Cognition, Pensacola, FL;Institute for Human and Machine Cognition, Pensacola, FL

  • Venue:
  • Knowledge and Information Visualization
  • Year:
  • 2005

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Abstract

Information visualization has been a research topic for many years, leading to a mature field where guidelines and practices are well established. Knowledge visualization, in contrast, is a relatively new area of research that has received more attention recently due to the interest from the business community in Knowledge Management. In this paper we present the CmapTools software as an example of how concept maps, a knowledge visualization tool, can be combined with recent technology to provide integration between knowledge and information visualizations. We show how concept map-based knowledge models can be used to organize repositories of information in a way that makes them easily browsable, and how concept maps can improve searching algorithms for the Web. We also report on how information can be used to complement knowledge models and, based on the searching algorithms, improve the process of constructing concept maps.