Global ontology research progress: a bibliometric analysis
Author:
Zhu Qiaoli,Kong Xuesong,Hong Song,Li Junli,He Zongyi
Abstract
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.
Subject
Library and Information Sciences,Information Systems
Reference71 articles.
1. Ashburner, M.
,
Ball, C.A.
,
Blake, J.A.
,
Botstein, D.
,
Butler, H.
,
Cherry, J.M.
,
Davis, A.P.
,
Dolinski, K.
,
Dwight, S.S.
,
Eppig, J.T.
,
Harris, M.A.
,
Hill, D.P.
,
Issel-Tarver, L.
,
Kasarskis, A.
,
Lewis, S.
,
Matese, J.C.
,
Richardson, J.E.
,
Ringwald, M.
,
Rubin, G.M.
and
Sherlock, G.
(2000), “Gene ontology: tool for the unification of biology”,
Nature Genetics
, Vol. 25 No. 1, pp. 25-29. 2. Ashburner, M.
,
Ball, C.A.
,
Blake, J.A.
,
Butler, H.
,
Cherry, J.M.
,
Corradi, J.
,
Dolinski, K.
,
Eppig, J.T.
,
Harris, M.
,
Hill, D.P.
,
Lewis, S.
,
Marshall, B.
,
Mungall, C.
,
Reiser, L.
,
Rhee, S.
,
Richardson, J.E.
,
Richter, J.
,
Ringwald, M.
,
Rubin, G.M.
,
Sherlock, G.
and
Yoon, J.
(2001), “Creating the gene ontology resource: design and implementation”,
Genome Res
, Vol. 11 No. 8, pp. 1425-1433. 3. Bateman, J.A.
(1995), “On the relationship between ontology construction and natural language: a socio-semiotic view”,
International Journal Of Human-Computer Studies
, Vol. 43 Nos 5-6, pp. 929-944. 4. Bateman, J.A.
,
Hois, J.
,
Ross, R.
and
Tenbrink, T.
(2010), “A linguistic ontology of space for natural language processing”,
Artificial Intelligence
, Vol. 174 No. 14, pp. 1027-1071. 5. Bawden, D.
and
Robinson, L.
(2008), “The dark side of information: overload, anxiety and other paradoxes and pathologies”,
Journal of Information Science
, Vol. 35 No. 2, pp. 180-191.
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