Linked Data Scientometrics in Semantic E-Science
Document Type
Article
Publication Date
3-2017
Publication Title
Computers & Geosciences
DOI
10.1016/j.cageo.2016.12.008
ISSN
0098-3004
Abstract
The Semantic Web is inherently multi-disciplinary and many domains have taken advantage of semantic technologies. Yet, the geosciences are one of the fields leading the way in Semantic Web adoption and validation. Astronomy, Earth science, hydrology, and solar-terrestrial physics have seen a noteworthy amount of semantic integration. The geoscience community has been willing early adopters of semantic technologies and have provided essential feedback to the broader semantic web community. Yet, there has been no systematic study of the community as a whole and there exists no quantitative data on the impact and status of semantic technologies in the geosciences. We explore the applicability of Linked Data to scientometrics in the geosciences. In doing so, we gain an initial understanding of the breadth and depth of the Semantic Web in the geosciences. We identify what appears to be a transitionary period in the applicability of these technologies.
Recommended Citation
Narock, Tom, Hayden Wimmer.
2017.
"Linked Data Scientometrics in Semantic E-Science."
Computers & Geosciences, 100: 87-93.
doi: 10.1016/j.cageo.2016.12.008 source: https://www.sciencedirect.com/science/article/pii/S0098300416308147?via%3Dihub
https://digitalcommons.georgiasouthern.edu/information-tech-facpubs/30
