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SAANSET: Semi-Automated Acquisition of Scholarly Metadata Using OpenResearch.org Platform

 
: Omar, R.; Vahdati, S.; Lange, C.; Vidal, M.-E.; Behrend, A.

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Institute of Electrical and Electronics Engineers -IEEE-:
IEEE 12th International Conference on Semantic Computing, ICSC 2018 : Laguna Hills, California, USA, 31 January - 2 February 2018
Piscataway, NJ: IEEE, 2018
ISBN: 978-1-5386-4408-9 (electronic)
ISBN: 978-1-5386-4409-6 (print)
ISBN: 978-1-5386-4407-2
S.41-48
International Conference on Semantic Computing (ICSC) <12, 2018, Laguna Hills/Calif.>
Englisch
Konferenzbeitrag
Fraunhofer IAIS ()

Abstract
Researchers spend a lot of time on finding information about people, events, journals, and research areas related to topics of their interest. Digital libraries and digital scholarly repositories usually offer services to assist researchers in this task. However, every research community has its own way of distributing scholarly metadata. Mailing lists provide an instantaneous channel and are often used for discussing topics of interest to a community of researchers, or to announce important information - albeit in an unstructured way. To bring structure specifically into the announcements of events and thus to enable researchers to, e.g., filter them by relevance, we present a semi-automatic crowd-sourcing workflow that captures metadata of events from call-for-papers emails into the OpenResearch.org semantic wiki. Evaluations confirm that our approach reduces the high number of actions that researchers currently have to perform manually when tracing calls for papers received via mailing lists.

: http://publica.fraunhofer.de/dokumente/N-520443.html