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Semantic Representation of Physics Research Data

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

Authors

  • Aysegul Say
  • Said Fathalla
  • Sahar Vahdati
  • Jens Lehmann
  • Sören Auer

Research Organisations

External Research Organisations

  • University of Bonn
  • Alexandria University
  • University of Oxford
  • Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS)
  • German National Library of Science and Technology (TIB)

Details

Original languageEnglish
Title of host publication Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD
EditorsDavid Aveiro, Jan Dietz, Joaquim Filipe
Pages64-75
Number of pages12
ISBN (electronic)9789897584749
Publication statusPublished - 2020
Event12th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2020 - Part of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2020 - Virtual, Online
Duration: 2 Nov 20204 Nov 2020

Publication series

NameIC3K 2020 - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Volume2

Abstract

Improvements in web technologies and artificial intelligence enable novel, more data-driven research practices for scientists. However, scientific knowledge generated from data-intensive research practices is disseminated with unstructured formats, thus hindering the scholarly communication in various respects. The traditional document-based representation of scholarly information hampers the reusability of research contributions. To address this concern, we developed the Physics Ontology (PhySci) to represent physics-related scholarly data in a machine-interpretable format. PhySci facilitates knowledge exploration, comparison, and organization of such data by representing it as knowledge graphs. It establishes a unique conceptualization to increase the visibility and accessibility to the digital content of physics publications. We present the iterative design principles by outlining a methodology for its development and applying three different evaluation approaches: data-driven and criteria-based evaluation, as well as ontology testing.

Keywords

    Domain ontology, Ontology engineering, Physics, Scholarly communication, Semantic publishing, Semantic web

ASJC Scopus subject areas

Cite this

Semantic Representation of Physics Research Data. / Say, Aysegul; Fathalla, Said; Vahdati, Sahar et al.
Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD. ed. / David Aveiro; Jan Dietz; Joaquim Filipe. 2020. p. 64-75 (IC3K 2020 - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management; Vol. 2).

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

Say, A, Fathalla, S, Vahdati, S, Lehmann, J & Auer, S 2020, Semantic Representation of Physics Research Data. in D Aveiro, J Dietz & J Filipe (eds), Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD. IC3K 2020 - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, vol. 2, pp. 64-75, 12th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2020 - Part of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2020, Virtual, Online, 2 Nov 2020. https://doi.org/10.5220/0010111000640075
Say, A., Fathalla, S., Vahdati, S., Lehmann, J., & Auer, S. (2020). Semantic Representation of Physics Research Data. In D. Aveiro, J. Dietz, & J. Filipe (Eds.), Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD (pp. 64-75). (IC3K 2020 - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management; Vol. 2). https://doi.org/10.5220/0010111000640075
Say A, Fathalla S, Vahdati S, Lehmann J, Auer S. Semantic Representation of Physics Research Data. In Aveiro D, Dietz J, Filipe J, editors, Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD. 2020. p. 64-75. (IC3K 2020 - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management). doi: 10.5220/0010111000640075
Say, Aysegul ; Fathalla, Said ; Vahdati, Sahar et al. / Semantic Representation of Physics Research Data. Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD. editor / David Aveiro ; Jan Dietz ; Joaquim Filipe. 2020. pp. 64-75 (IC3K 2020 - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management).
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AU - Say, Aysegul

AU - Fathalla, Said

AU - Vahdati, Sahar

AU - Lehmann, Jens

AU - Auer, Sören

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