Linked Open Citation Database : enabling libraries to contribute to an open and interconnected citation graph


Lauscher, Anne ; Eckert, Kai ; Galke, Lukas ; Scherp, Ansgar ; Rizvi, Syed Tahseen Raza ; Ahmed, Sheraz ; Dengel, Andreas ; Zumstein, Philipp ; Klein, Annette


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DOI: 10.1145/3197026.3197050
URL: https://ub-madoc.bib.uni-mannheim.de/44470
Additional URL: https://dl.acm.org/citation.cfm?doid=3197026.31970...
URN: urn:nbn:de:bsz:180-madoc-444700
Document Type: Conference or workshop publication
Year of publication: 2018
Book title: Joint Conference on Digital Libraries 2018 : June 3-6, 2018 in Fort Worth, Texas : Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL)
Page range: 109-118
Conference title: JCDL 2018
Location of the conference venue: Fort Worth, TX
Date of the conference: June 3--7, 2018
Author/Publisher of the book
(only the first ones mentioned)
:
Chen, Jiangping
Place of publication: New York, NY
Publishing house: ACM Press
ISBN: 978-1-4503-5178-2
Publication language: English
Institution: Zentrale Einrichtungen > University Library
School of Business Informatics and Mathematics > Wirtschaftsinformatik III (Ponzetto 2016-)
Subject: 020 Library and information sciences
Keywords (English): citation data ; library workflows ; linked open data ; editorial system ; automatic reference extraction
Abstract: Citations play a crucial role in the scientific discourse, in information retrieval, and in bibliometrics. Many initiatives are currently promoting the idea of having free and open citation data. Creation of citation data, however, is not part of the cataloging workflow in libraries nowadays. In this paper, we present our project Linked Open Citation Database, in which we design distributed processes and a system infrastructure based on linked data technology. The goal is to show that efficiently cataloging citations in libraries using a semi-automatic approach is possible. We specifically describe the current state of the workflow and its implementation. We show that we could significantly improve the automatic reference extraction that is crucial for the subsequent data curation. We further give insights on the curation and linking process and provide evaluation results that not only direct the further development of the project, but also allow us to discuss its overall feasibility.

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Lauscher, Anne ; Eckert, Kai ; Galke, Lukas ; Scherp, Ansgar ; Rizvi, Syed Tahseen Raza ; Ahmed, Sheraz ; Dengel, Andreas ; Zumstein, Philipp ORCID: 0000-0002-6485-9434 ; Klein, Annette ORCID: 0000-0001-8825-6446 (2018) Linked Open Citation Database : enabling libraries to contribute to an open and interconnected citation graph. Open Access In: Joint Conference on Digital Libraries 2018 : June 3-6, 2018 in Fort Worth, Texas : Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2018 New York, NY [Conference or workshop publication]
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