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

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Rebaz Omar
  • Sahar Vahdati
  • Christoph Lange
  • Maria Esther Vidal
  • Andreas Behrend

Research Organisations

External Research Organisations

  • University of Bonn
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Details

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publication12th IEEE International Conference on Semantic Computing, ICSC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages41-48
Number of pages8
ISBN (electronic)9781538644072
Publication statusPublished - 9 Apr 2018
Event12th IEEE International Conference on Semantic Computing, ICSC 2018 - Laguna Hills, United States
Duration: 31 Jan 20182 Feb 2018

Publication series

NameProceedings - 12th IEEE International Conference on Semantic Computing, ICSC 2018
Volume2018-January

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.

Keywords

    Knowledge Acquisition, Mailing Lists, Metadata Extraction, Scientific Event Knowledge Graph, Scientific Events, Semantic Media Wiki, Semantic Publishing

ASJC Scopus subject areas

Cite this

SAANSET: Semi-Automated Acquisition of Scholarly Metadata Using OpenResearch.org Platform. / Omar, Rebaz; Vahdati, Sahar; Lange, Christoph et al.
Proceedings: 12th IEEE International Conference on Semantic Computing, ICSC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 41-48 (Proceedings - 12th IEEE International Conference on Semantic Computing, ICSC 2018; Vol. 2018-January).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Omar, R, Vahdati, S, Lange, C, Vidal, ME & Behrend, A 2018, SAANSET: Semi-Automated Acquisition of Scholarly Metadata Using OpenResearch.org Platform. in Proceedings: 12th IEEE International Conference on Semantic Computing, ICSC 2018. Proceedings - 12th IEEE International Conference on Semantic Computing, ICSC 2018, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 41-48, 12th IEEE International Conference on Semantic Computing, ICSC 2018, Laguna Hills, United States, 31 Jan 2018. https://doi.org/10.1109/ICSC.2018.00015
Omar, R., Vahdati, S., Lange, C., Vidal, M. E., & Behrend, A. (2018). SAANSET: Semi-Automated Acquisition of Scholarly Metadata Using OpenResearch.org Platform. In Proceedings: 12th IEEE International Conference on Semantic Computing, ICSC 2018 (pp. 41-48). (Proceedings - 12th IEEE International Conference on Semantic Computing, ICSC 2018; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSC.2018.00015
Omar R, Vahdati S, Lange C, Vidal ME, Behrend A. SAANSET: Semi-Automated Acquisition of Scholarly Metadata Using OpenResearch.org Platform. In Proceedings: 12th IEEE International Conference on Semantic Computing, ICSC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 41-48. (Proceedings - 12th IEEE International Conference on Semantic Computing, ICSC 2018). doi: 10.1109/ICSC.2018.00015
Omar, Rebaz ; Vahdati, Sahar ; Lange, Christoph et al. / SAANSET : Semi-Automated Acquisition of Scholarly Metadata Using OpenResearch.org Platform. Proceedings: 12th IEEE International Conference on Semantic Computing, ICSC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 41-48 (Proceedings - 12th IEEE International Conference on Semantic Computing, ICSC 2018).
Download
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title = "SAANSET: Semi-Automated Acquisition of Scholarly Metadata Using OpenResearch.org Platform",
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.",
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