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Too many tags spoil the metadata: investigating the knowledge management of scientific research with semantic web technologies

Crossref DOI link: https://doi.org/10.1186/s13321-019-0345-8

Published Online: 2019-03-21

Published Print: 2019-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kanza, Samantha https://orcid.org/0000-0002-4831-9489
Gibbins, Nicholas

Frey, Jeremy G.
Funding

Funding for this research was provided by:

Engineering and Physical Sciences Research Council (EP/G036926/1)

Engineering and Physical Sciences Research Council (GR/R67729/01)

Engineering and Physical Sciences Research Council (EP/C008863/1)

Engineering and Physical Sciences Research Council (EP/G026238/1)

Engineering and Physical Sciences Research Council (EP/K003569/1)
License Information

Text and Data Mining valid from 2019-03-21
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Article History

Received: 14 November 2018

Accepted: 8 March 2019

First Online: 21 March 2019