Maynard, D. orcid.org/0000-0002-1773-7020, Lepori, B., Petrak, J. orcid.org/0000-0001-8038-3096
et al. (2 more authors)
(2020)
Using ontologies to map between research data and policymakers’ presumptions: the experience of the KNOWMAK project.
Scientometrics, 125 (2).
pp. 1275-1290.
ISSN 0138-9130
Abstract
Understanding knowledge co-creation in key emerging areas of European research is critical for policy makers wishing to analyze impact and make strategic decisions. However, purely data-driven methods for characterising policy topics have limitations relating to the broad nature of such topics and the differences in language and topic structure between the political language and scientific and technological outputs. In this paper, we discuss the use of ontologies and semantic technologies as a means to bridge the linguistic and conceptual gap between policy questions and data sources for characterising European knowledge production. Our experience suggests that the integration between advanced techniques for language processing and expert assessment at critical junctures in the process is key for the success of this endeavour.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2020. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
Keywords: | Ontology; Natural language processing; Knowledge co-creation; Policymaking; Term extraction |
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 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 28 Aug 2020 14:12 |
Last Modified: | 25 Jan 2022 12:12 |
Status: | Published |
Publisher: | Springer Nature |
Refereed: | Yes |
Identification Number: | 10.1007/s11192-020-03664-6 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:164865 |
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