Bibliometric Analysis on Bibliometric-based Ontology Research

ABSTRACT

Ontology is one of the most popular topics in information science in recent years. Ontology engineering plays a significant role and has broad application potential in several fields, such as information sharing, system integration and knowledge-based software development. We analyzed the quantity of published literature, literature-related cooperative network and literature co-citation network in the field of ontology using methods such as metrology citation analysis, knowledge graphs, co-citation analysis and with the help of bibliometric knowledge mapping visualization software and database result analysis tools. Ontology-related literature from the core database of Web of Science between 1986 and 2020 was selected as the sample in this paper. The analysis results indicated that two popular research topics in ontology are semantic web and gene ontology. Among them, semantic web is associated with natural language processing, while gene ontology is related to bioinformatics. In order to track research outcomes in ontology, we conducted a bibliometric analysis of ontology studies over the past two and a half decades.

KEYWORDS:

• Ontology
• bibliometric analysis
• knowledge mapping
• visualization

Acknowledgments

Yong Ye is an Associate Professor of the School of Information & Computer at Anhui Agricultural University, China. His major research areas include information service, information retrieval and supply chain information decision. He holds the head of the department of logistics engineering at Anhui Agricultural University in China.

Conflicts of interest

The authors declare no conflict of interest.

Additional information

Funding

This research was supported by Primary Research & Development Plan of Anhui Province, China [201904a06020020], Higher Education Quality Engineering Project of Anhui Province [2020jxtd089, 2020sjjd040], First-class Undergraduate Major Construction Project of Anhui Agricultural University [No. 2019auylzy13], the Ministry of Education Collaborative Education Program, China [No. 201802044016], the 2019 Anhui University collaborative innovation project [sn: GXXT-2019-013] and the Hefei Major Research Project of Key Technology [J2018G14].