Article (Scientific journals)
Using linked data to create provenance-rich metadata interlinks: the design and evaluation of the NAISC-L interlinking framework for libraries, archives and museums
McKenna, Lucy; Debruyne, Christophe; O'Sullivan, Declan
2022In AI and Society
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Disciplines :
Computer science
Arts & humanities: Multidisciplinary, general & others
Author, co-author :
McKenna, Lucy;  Trinity College Dublin - TCD
Debruyne, Christophe  ;  Trinity College Dublin - TCD
O'Sullivan, Declan;  Trinity College Dublin - TCD
Language :
English
Title :
Using linked data to create provenance-rich metadata interlinks: the design and evaluation of the NAISC-L interlinking framework for libraries, archives and museums
Publication date :
January 2022
Journal title :
AI and Society
ISSN :
0951-5666
eISSN :
1435-5655
Publisher :
Springer, Germany
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 25 January 2022

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