The thematic and citation landscape of Data and Knowledge Engineering (1985-2007)

  • Authors:
  • Chaomei Chen;Il-Yeol Song;Xiaojun Yuan;Jian Zhang

  • Affiliations:
  • College of Information Science and Technology, Drexel University, United States;College of Information Science and Technology, Drexel University, United States;College of Computing and Information, University at Albany, State University of New York, United States;College of Information Science and Technology, Drexel University, United States

  • Venue:
  • Data & Knowledge Engineering
  • Year:
  • 2008

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Abstract

The thematic and citation structures of Data and Knowledge Engineering (DKE) (1985-2007) are identified based on text analysis and citation analysis of the bibliographic records of full papers published in the journal. Temporal patterns are identified by detecting abrupt increases of frequencies of noun phrases extracted from titles and abstracts of DKE papers over time. Conceptual structures of the subject domain are identified by clustering analysis. Concept maps and network visualizations are presented to illustrate salient patterns and emerging thematic trends. A variety of statistics are reported to highlight key contributors and DKE papers that have made profound impacts.