Maynard, D. orcid.org/0000-0002-1773-7020, Lepori, B. and Laredo, P. (2019) Using ontologies to map between research and policy data: opportunities and challenges. In: Catalano, G., Daraio, C., Gregori, M., Moed, H.F. and Ruocco, G., (eds.) Proceedings of the 17th International Conference on Scientometrics & Informetrics. 17th International Conference on Scientometrics & Informetrics, 02-05 Sep 2019, Rome, Italy. ISSI , pp. 535-540. ISBN 9788833811185
Abstract
Understanding knowledge co-creation in key emerging areas of European research is a critical issue for policy makers in order to analyse impact and make strategic decisions. However, current methods for characterising and visualising the field have limitations concerning the changing nature of research, the differences in language and topic structure between policies and scientific topics, and the coverage of a broad range of scientific and political issues that have different characteristics. In this work, we discuss the novel use of ontologies and semantic technologies as a way to bridge the linguistic and conceptual gap between policy questions and data sources. Our experience suggests that a proper interlinking between intellectual tasks and the use of advanced techniques for language processing is key for the success of this endeavour.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2019 International Society for Scientometrics and Informetrics. |
Keywords: | term extraction; ontology; policy data; NLP |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 726992 EUROPEAN COMMISSION - HORIZON 2020 761799 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 24 Jun 2019 14:12 |
Last Modified: | 27 Jan 2020 13:02 |
Status: | Published |
Publisher: | ISSI |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:146657 |