The contribution of information science in the Semantic Web research landscape. Issue 1 (1st February 2019)

• Record Type: Journal Article
• Authors: St‐Germain, Marielle; Mongeon, Philippe
• Is Part Of: Proceedings of the Association for Information Science and Technology. Volume 55:Issue 1(2018)
• Page Start: 470
• Page End: 477
• Publication Date: 2019-02-01
• Subjects: Semantic Web -- Linked Data -- Information science -- Bibliometrics -- Citation analysis; Information science -- Congresses; Information technology -- Congresses; Information science; Information technology; Conference papers and proceedings; 020
• DOI: 10.1002/pra2.2018.14505501051
• Languages: English
• ISSNs: 2373-9231

Abstract

ABSTRACT: Semantic Web and Linked Data promise to change the way we identify, classify, share, find and reuse information by managing and interlinking data so that it can be understood by machines. The benefits identified by the World Wide Web Consortium and other Semantic Web advocates have lead information professionals to explore these possibilities by implementing several initiatives based on Semantic Web technologies in recent years. Just like information science, Semantic Web research is multidisciplinary in nature and can be applied in many different disciplines. In this article, we provide a portrait of research on the Semantic Web using bibliometric methods and investigate the specific contribution of information science literature on the topic. We analyzed 6, 438 articles published from 2001 to 2016 retrieved from the Web of Science database to evaluate the evolution of the papers published by discipline and the way the topic was discussed by different discipline. A citation analysis is also conducted.