标题：Global ontology research progress: a bibliometric analysis

作者：Zhu, Qiaoli; Kong, Xuesong; Hong, Song; Li, Junli; He, Zongyi

来源出版物：ASLIB JOURNAL OF INFORMATION MANAGEMENT 卷：67 期：1 页：27-54 DOI：10.1108/AJIM-05-2014-0061 出版年：2015

摘要：Purpose - The purpose of this paper is to analyse the global scientific outputs of ontology research, an important emerging discipline that has huge potential to improve information understanding, organization, and management.

Design/methodology/approach - This study collected literature published during 1900-2012 from the Web of Science database. The bibliometric analysis was performed from authorial, institutional, national, spatiotemporal, and topical aspects. Basic statistical analysis, visualization of geographic distribution, co-word analysis, and a new index were applied to the selected data.

Findings - Characteristics of publication outputs suggested that ontology research has entered into the soaring stage, along with increased participation and collaboration. The authors identified the leading authors, institutions, nations, and articles in ontology research. Authors were more from North America, Europe, and East Asia. The USA took the lead, while China grew fastest. Four major categories of frequently used keywords were identified: applications in Semantic Web, applications in bioinformatics, philosophy theories, and common supporting technology. Semantic Web research played a core role, and gene ontology study was well-developed. The study focus of ontology has shifted from philosophy to information science.

Originality/value - This is the first study to quantify global research patterns and trends in ontology, which might provide a potential guide for the future research. The new index provides an alternative way to evaluate the multidisciplinary influence of researchers.

入藏号：WOS:000349640700002

文献类型：Article

语种：English

作者关键词：Research trend, Bibliometrics, Ontology, Disciplinary incidence index (DII), Scientific outputs

扩展关键词：CO-WORD ANALYSIS; FORMAL ONTOLOGY; SEMANTIC WEB; KNOWLEDGE MANAGEMENT; NATURAL-LANGUAGE; RESEARCH TRENDS; SCIENCE SYSTEM; GENE ONTOLOGY; IMPACT FACTOR; INFORMATION

通讯作者地址：He, Zongyi; Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.

电子邮件地址：hezongyi2013@163.com

地址：

[Zhu, Qiaoli; Kong, Xuesong; Hong, Song; Li, Junli; He, Zongyi] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.

研究方向：Computer Science; Information Science & Library Science

ISSN：2050-3806

eISSN:1758-3748