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Journal article
The thematic and citation landscape of Data and Knowledge Engineering (1985-2007)
Data & knowledge engineering, v 67(2), pp 234-259
01 Nov 2008
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. (C) 2008 Elsevier B.V. All rights reserved.
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Details
- Title
- The thematic and citation landscape of Data and Knowledge Engineering (1985-2007)
- Creators
- Chaomei Chen - Drexel UniversityIl-Yeol Song - Drexel UniversityXiaojun Yuan - College of Computing and Information, University at Albany, State University of New York, United StatesJian Zhang - Drexel University
- Publication Details
- Data & knowledge engineering, v 67(2), pp 234-259
- Publisher
- Elsevier
- Number of pages
- 26
- Grant note
- 0612129 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000260241900003
- Scopus ID
- 2-s2.0-51349118101
- Other Identifier
- 991019169656104721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems