@inproceedings{838701e3ec20463a9d8ae705fba29b7f,
title = "The OpenCitations 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.",
keywords = "Data model, Open citations, Scholarly data",
author = "Marilena Daquino and Silvio Peroni and David Shotton and Giovanni Colavizza and Behnam Ghavimi and Anne Lauscher and Philipp Mayr and Matteo Romanello and Philipp Zumstein",
note = "Funding Information: The Venice Scholar Index (VSI)14 is an instance of the Scholar Index, originated from the “Linked Books” project [8] founded by the Swiss National Science Foundation. The citation index includes about 4 million references to publications cited in the historiography of Venice. VSI exports data into RDF formats according to OCDM so as to be integrated into the OCC. Funding Information: Along with trustworthiness, another important factor is the general interest in the community towards research topics and outputs that can leverage OCDM. So far, two OpenCitations projects dedicated to the enhancement of the OpenCi-tations Corpus and the creation of the Open Biomedical Citations in Context Corpus have been funded by the Alfred P. Sloan Foundation34 and the Wellcome Trust respectively, as mentioned above in Section “Background”. Moreover, the Internet Archive and Figshare have both offered to archive backup copies of the OpenCitations datasets without charge. Funding Information: This work was funded by the Wellcome Trust (Wellcome-214471 Z 18 Z). We thank Ludo Waltman (Centre for Science and Technology Studies-CWTS, Leiden University) and Vincent Larivi?re (?cole de biblioth?conomie et des sciences de l?information, l?Universit? de Montr?al) for supervising aspects of this work, and Ivan Heibi (University of Bologna) for contributing with suggestions. Funding Information: Acknowledgements. This work was funded by the Wellcome Trust (Wellcome-214471 Z 18 Z). We thank Ludo Waltman (Centre for Science and Technology Studies -CWTS, Leiden University) and Vincent Larivi{\`e}re ({\'E}cole de biblioth{\'e}conomie et des sciences de l{\textquoteright}information, l{\textquoteright}Universit{\'e} de Montr{\'e}al) for supervising aspects of this work, and Ivan Heibi (University of Bologna) for contributing with suggestions. Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 19th International Semantic Web Conference, ISWC 2020 ; Conference date: 02-11-2020 Through 06-11-2020",
year = "2020",
doi = "10.1007/978-3-030-62466-8_28",
language = "English",
isbn = "9783030624651",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "447--463",
editor = "Pan, {Jeff Z.} and Valentina Tamma and Claudia d{\textquoteright}Amato and Krzysztof Janowicz and Bo Fu and Axel Polleres and Oshani Seneviratne and Lalana Kagal",
booktitle = "The Semantic Web – ISWC 2020",
address = "Germany",
}