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The OpenCitations Data Model

Authors :: Daquino, M.
Peroni, S.
Shotton, D.
Colavizza, G.
Ghavimi, B.
Lauscher, A.
Mayr, P.
Romanello, M.
Zumstein, P.
Pan, J.Z.
Tamma, V.
d’Amato, C.
Janowicz, K.
Fu, B.
Polleres, A.
Seneviratne, O.
Kagal, L.
AIHR (FGw)
ILLC (FGw)
Language and Computation (ILLC, FNWI/FGw)
Daquino, Marilena
Peroni, Silvio
Shotton, David
Colavizza, Giovanni
Ghavimi, Behnam
Lauscher, Anne
Mayr, Philipp
Romanello, Matteo
Zumstein, Philipp
Source :: Lecture Notes in Computer Science ISBN: 9783030624651, ISWC (2), The Semantic Web – ISWC 2020: 19th International Semantic Web Conference Athens, Greece, November 2–6, 2020 : Proceedings, II, 447-463
Publication Year :: 2020
Publisher :: arXiv, 2020.
Abstract: A variety of schemas and ontologies are currently used for the machine-readable description of bibliographic entities and citations. This diversity, and the reuse of the same ontology terms with different nuances, generates inconsistencies in data. Adoption of a single data model would facilitate data integration tasks regardless of the data supplier or context application. In this paper we present the OpenCitations Data Model (OCDM), a generic data model for describing bibliographic entities and citations, developed using Semantic Web technologies. We also evaluate the effective reusability of OCDM according to ontology evaluation practices, mention existing users of OCDM, and discuss the use and impact of OCDM in the wider open science community.<br />Comment: ISWC 2020 Conference proceedings

Details

ISBN :: 978-3-030-62465-1
ISBNs :: 9783030624651
Database :: OpenAIRE
Journal :: Lecture Notes in Computer Science ISBN: 9783030624651, ISWC (2), The Semantic Web – ISWC 2020: 19th International Semantic Web Conference Athens, Greece, November 2–6, 2020 : Proceedings, II, 447-463
Accession number :: edsair.doi.dedup.....4147acbde866f010bb2530143650b56d
Full Text :: https://doi.org/10.48550/arxiv.2005.11981