DIVA: a visualization system for exploring document databases for technology forecasting

  • Authors:

  • Steven Morris;Camille DeYong;Zheng Wu;Sinan Salman;Dagmawi Yemenu

  • Affiliations:

  • School of Electrical and Computer Engineering, Oklahoma State University, 202 Engineering South, Stillwater, OK;School of Industrial Engineering and Management, Oklahoma State University, 322F Engineering North, Stillwater, OK;School of Electrical and Computer Engineering, Oklahoma State University, 202 Engineering South, Stillwater, OK;School of Industrial Engineering and Management, Oklahoma State University, 322F Engineering North, Stillwater, OK;School of Industrial Engineering and Management, Oklahoma State University, 322F Engineering North, Stillwater, OK

  • Venue:
  • Computers and Industrial Engineering
  • Year:
  • 2002

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Abstract

Database Information Visualization and Analysis system (DIVA) is a computer program that helps perform bibliometric analysis of collections of scientific literature and patents for technology forecasting. Documents, drawn from the technological field of interest, are visualized as clusters on a two dimensional map, permitting exploration of the relationships among the documents and document clusters and also permitting derivation of summary data about each document cluster. Such information, when provided to subject matter experts performing a technology forecast, can yield insight into trends in the technological field of interest. This paper discusses the document visualization and analysis process: acquisition of documents, mapping documents, clustering, exploration of relationships, and generation of summary and trend information. Detailed discussion of DIVA exploration functions is presented and followed by an example of visualization and analysis of a set of documents about chemical sensors.