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

Chaomei Chen; Il Yeol Song; Xiaojun Yuan; Jian Zhang

doi:10.1016/j.datak.2008.05.004

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

Chaomei Chen, Il Yeol Song, Xiaojun Yuan, Jian Zhang

Department of Library and Information Science

Research output: Contribution to journal › Article › peer-review

112 Citations (Scopus)

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.

Original language	English
Pages (from-to)	234-259
Number of pages	26
Journal	Data and Knowledge Engineering
Volume	67
Issue number	2
DOIs	https://doi.org/10.1016/j.datak.2008.05.004
Publication status	Published - 2008 Nov

Bibliographical note

Funding Information:
This work is in part supported by the National Science Foundation under Grant No. 0612129. The authors would like to thank for Elsevier and in particular Patrick Gibbons for arranging the access to Scopus and ScienceDirect.

All Science Journal Classification (ASJC) codes

Information Systems and Management

Access to Document

10.1016/j.datak.2008.05.004

Cite this

@article{63e3a003e33d4545bc9276e648c31e86,

title = "The thematic and citation landscape of Data and Knowledge Engineering (1985-2007)",

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.",

author = "Chaomei Chen and Song, {Il Yeol} and Xiaojun Yuan and Jian Zhang",

note = "Funding Information: This work is in part supported by the National Science Foundation under Grant No. 0612129. The authors would like to thank for Elsevier and in particular Patrick Gibbons for arranging the access to Scopus and ScienceDirect. ",

year = "2008",

month = nov,

doi = "10.1016/j.datak.2008.05.004",

language = "English",

volume = "67",

pages = "234--259",

journal = "Data and Knowledge Engineering",

issn = "0169-023X",

publisher = "Elsevier",

number = "2",

}

TY - JOUR

T1 - The thematic and citation landscape of Data and Knowledge Engineering (1985-2007)

AU - Chen, Chaomei

AU - Song, Il Yeol

AU - Yuan, Xiaojun

AU - Zhang, Jian

N1 - Funding Information: This work is in part supported by the National Science Foundation under Grant No. 0612129. The authors would like to thank for Elsevier and in particular Patrick Gibbons for arranging the access to Scopus and ScienceDirect.

PY - 2008/11

Y1 - 2008/11

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=51349118101&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=51349118101&partnerID=8YFLogxK

U2 - 10.1016/j.datak.2008.05.004

DO - 10.1016/j.datak.2008.05.004

M3 - Article

AN - SCOPUS:51349118101

SN - 0169-023X

VL - 67

SP - 234

EP - 259

JO - Data and Knowledge Engineering

JF - Data and Knowledge Engineering

IS - 2

ER -

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

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this