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pro vyhledávání: '"Clara Turp"'
Autor:
Lucy Kiester, Clara Turp
Publikováno v:
Journal of the Medical Library Association, Vol 110, Iss 1 (2022)
This article focuses on PubMed’s Best Match sorting algorithm, presenting a simplified explanation of how it operates and highlighting how artificial intelligence affects search results in ways that are not seen by users. We further discuss user se
Externí odkaz:
https://doaj.org/article/329013b5204d421993cb7649ddef8a39
Publikováno v:
Publications, Vol 8, Iss 2, p 25 (2020)
The Federated Research Data Repository (FRDR), developed through a partnership between the Canadian Association of Research Libraries’ Portage initiative and the Compute Canada Federation, improves research data discovery in Canada by providing a s
Externí odkaz:
https://doaj.org/article/c4f0abbdc43d4101a2b25246b02a7f5f
Autor:
Clara Turp, Lucy Kiester
Publikováno v:
Journal of the Medical Library Association, Vol 110, Iss 1 (2022)
This article focuses on PubMed’s Best Match sorting algorithm, presenting a simplified explanation of how it operates and highlighting how artificial intelligence affects search results in ways that are not seen by users. We further discuss user se
Publikováno v:
Journal of Library Metadata. 20:65-89
Ontology development and data modeling are core components of any linked data project. Through our own experiments building a linked data ontology for our collections, we wondered: how are our peer...
Autor:
Dawn McKinnon, Clara Turp
Publikováno v:
The Journal of Academic Librarianship. 48:102505
Publikováno v:
Publications. 8:25
The Federated Research Data Repository (FRDR), developed through a partnership between the Canadian Association of Research Libraries’ Portage initiative and the Compute Canada Federation, improves research data discovery in Canada by providing a s