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

Data & Knowledge EngineeringPublished 29 May 2008
Chaomei Chen, Il‐Yeol Song, Xiaojun Yuan, Jian Zhang
Citations180
SJR quartileQ2
SJR score0.68
SNIP1.41

TL;DR

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.

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.

Keywords

Computer ScienceDecision SciencesPhysics and Astronomy