The thematic and citation landscape of Data and Knowledge Engineering

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 ncreases 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. Keywords Structural and temporal patterns, domain analysis, scientometrics, CiteSpace, Thematic analysis, DKE

• Type: Journal
• Year: 2008
• Where: DKE
• Authors: Chaomei Chen, Il-Yeol Song, Xiaojun Yuan, Jian Zhang 0006
• Keywords: Analysis, DKE 2008, DKE Papers, Temporal Patterns