Using ontologies to map between research data and policymakers’ presumptions: the experience of the KNOWMAK project-Reference-Cited by-同舟云学术

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

Published:2020-08-17 Issue:2 Volume:125 Page:1275-1290
ISSN:0138-9130
Container-title:Scientometrics
language:en
Short-container-title:Scientometrics

Author:

Maynard Diana^ORCID,Lepori Benedetto,Petrak Johann,Song Xingyi,Laredo Philippe

Abstract

AbstractUnderstanding 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.

Funder

Horizon 2020 Framework Programme

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Computer Science Applications,General Social Sciences

Link

https://link.springer.com/content/pdf/10.1007/s11192-020-03664-6.pdf

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