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

被引：123

作者：

Chen, Chaomei ^{[1
]}

Song, Il-Yeol ^{[1
]}

Yuan, Xiaojun ^{[2
]}

Zhang, Jian ^{[1
]}

机构：

[1] Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA 19104 USA

[2] SUNY Albany, Coll Comp & Informat, Albany, NY 12222 USA

来源：

DATA & KNOWLEDGE ENGINEERING | 2008年 / 67卷 / 02期

基金：

美国国家科学基金会;

关键词：

Structural and temporal patterns; Domain analysis; Scientometrics; CiteSpace; Thematic analysis; DKE;

D O I：

10.1016/j.datak.2008.05.004

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：234 / 259

页数：26

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