Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/28023
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Author(s): Lauscher, Anne
Eckert, Kai
Galke, Lukas
Scherp, Ansgar
Rizvi, Syed Tahseen Raza
Ahmed, Sheraz
Dengel, Andreas
Zumstein, Philipp
Klein, Annette
Contact Email: ansgar.scherp@stir.ac.uk
Title: Linked Open Citation Database: Enabling Libraries to Contribute to an Open and Interconnected Citation Graph
Editor(s): Chen, J
Goncalves, MA
Allen, JM
Fox, EA
Kan, M-Y
Petras, V
Citation: Lauscher A, Eckert K, Galke L, Scherp A, Rizvi STR, Ahmed S, Dengel A, Zumstein P & Klein A (2018) Linked Open Citation Database: Enabling Libraries to Contribute to an Open and Interconnected Citation Graph. In: Chen J, Goncalves M, Allen J, Fox E, Kan M & Petras V (eds.) Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries. 18th ACM/IEEE on Joint Conference on Digital Libraries, Fort Worth, TX, USA, 03.06.2018-07.06.2018. New York: ACM, pp. 109-118. https://doi.org/10.1145/3197026.3197050
Issue Date: 31-Dec-2018
Date Deposited: 18-Oct-2018
Conference Name: 18th ACM/IEEE on Joint Conference on Digital Libraries
Conference Dates: 2018-06-03 - 2018-06-07
Conference Location: Fort Worth, TX, USA
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 cataloguing 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 cataloguing 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.
Status: VoR - Version of Record
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Licence URL(s): http://www.rioxx.net/licenses/under-embargo-all-rights-reserved

Files in This Item:
File Description SizeFormat 
Lauscher et al.pdfFulltext - Published Version1.98 MBAdobe PDFUnder Permanent Embargo    Request a copy

Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.



This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.