IR Scientific Data: How to Semantically Represent and Enrich Them

Toine Bogers, Georgeta Bordea, Paul Buitelaar, Nicola Ferro, Gianmaria Silvello


Anthology ID:
2016.clicit-1.11
Volume:
Proceedings of the Third Italian Conference on Computational Linguistics (CLiC-it 2016)
Month:
December
Year:
2016
Address:
Naples, Italy
Editors:
Anna Corazza, Simonetta Montemagni, Giovanni Semeraro
Venue:
CLiC-it
SIG:
Publisher:
CEUR Workshop Proceedings
Note:
Pages:
52–57
Language:
URL:
https://aclanthology.org/2016.clicit-1.11/
DOI:
Bibkey:
Cite (ACL):
Toine Bogers, Georgeta Bordea, Paul Buitelaar, Nicola Ferro, and Gianmaria Silvello. 2016. IR Scientific Data: How to Semantically Represent and Enrich Them. In Proceedings of the Third Italian Conference on Computational Linguistics (CLiC-it 2016), pages 52–57, Naples, Italy. CEUR Workshop Proceedings.
Cite (Informal):
IR Scientific Data: How to Semantically Represent and Enrich Them (Bogers et al., CLiC-it 2016)
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PDF:
https://aclanthology.org/2016.clicit-1.11.pdf