Using ontologies to map between research data and policymakers’ presumptions: the experience of the KNOWMAK project

Diana Maynard (), Benedetto Lepori (), Johann Petrak, Xingyi Song and Philippe Laredo ()
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Diana Maynard: University of Sheffield
Benedetto Lepori: Università della Svisera italiana
Johann Petrak: University of Sheffield
Xingyi Song: University of Sheffield
Philippe Laredo: University of Paris Est

Scientometrics, 2020, vol. 125, issue 2, No 26, 1275-1290

Abstract: 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.

Keywords: Ontology; Natural language processing; Knowledge co-creation; Policymaking; Term extraction (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s11192-020-03664-6

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