The OpenCitations Data Model

Daquino, Marilena ; Peroni, Silvio ; Shotton, David ; Colavizza, Giovanni ; Ghavimi, Behnam ; Lauscher, Anne ; Mayr, Philipp ; Romanello, Matteo ; Zumstein, Philipp

DOI:	https://doi.org/10.1007/978-3-030-62466-8_28
URL:	https://link.springer.com/chapter/10.1007/978-3-03...
Additional URL:	https://arxiv.org/abs/2005.11981
Document Type:	Conference or workshop publication
Year of publication:	2020
Book title:	The Semantic Web - ISWC 2020 : 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part II
The title of a journal, publication series:	Lecture Notes in Computer Science
Volume:	12507
Page range:	447-463
Conference title:	ISWC 2020
Location of the conference venue:	Online
Date of the conference:	01.-06.11.2020
Publisher:	Pan, Jeff Z.
Place of publication:	Berlin [u.a.]
Publishing house:	Springer
ISBN:	978-3-030-62465-1 , 978-3-030-62467-5
ISSN:	0302-9743 , 1611-3349
Publication language:	English
Institution:	Zentrale Einrichtungen > University Library
Subject:	004 Computer science, internet 010 Bibliography
Subject headings (SWD):	Datenmodell ; Metadaten ; Bibliometrie ; Open Data
Keywords (English):	open citations ; data model
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.