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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:
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https://doi.org/10.1145/3197026.3197050
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URL:
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https://madoc.bib.uni-mannheim.de/44470
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Additional URL:
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https://dl.acm.org/citation.cfm?doid=3197026.31970...
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URN:
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urn:nbn:de:bsz:180-madoc-444700
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Document Type:
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Conference or workshop publication
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Year of publication:
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2018
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Book title:
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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)
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Page range:
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109-118
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Conference title:
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JCDL 2018
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Location of the conference venue:
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Fort Worth, TX
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Date of the conference:
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June 3--7, 2018
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Publisher:
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Chen, Jiangping
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Place of publication:
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New York, NY
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Publishing house:
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ACM Press
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ISBN:
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978-1-4503-5178-2
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Publication language:
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English
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Institution:
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Zentrale Einrichtungen > University Library
School of Business Informatics and Mathematics > Information Systems III: Enterprise Data Analysis (Ponzetto 2016-)
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Subject:
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020 Library and information sciences
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Keywords (English):
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citation data ; library workflows ; linked open data ; editorial system ; automatic reference extraction
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Abstract:
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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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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
 | Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt. |
 Search Authors in
BASE:
Lauscher, Anne
;
Eckert, Kai
;
Galke, Lukas
;
Scherp, Ansgar
;
Rizvi, Syed Tahseen Raza
;
Ahmed, Sheraz
;
Dengel, Andreas
;
Zumstein, Philipp
;
Klein, Annette
Google Scholar:
Lauscher, Anne
;
Eckert, Kai
;
Galke, Lukas
;
Scherp, Ansgar
;
Rizvi, Syed Tahseen Raza
;
Ahmed, Sheraz
;
Dengel, Andreas
;
Zumstein, Philipp
;
Klein, Annette
ORCID:
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
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