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Authors: Aysegul Say 1 ; Said Fathalla 2 ; 1 ; Sahar Vahdati 3 ; 1 ; Jens Lehmann 4 ; 1 and Sören Auer 5 ; 6

Affiliations: 1 Smart Data Analytics (SDA), University of Bonn, Germany ; 2 Faculty of Science, University of Alexandria, Egypt ; 3 Department of Computer Science, University of Oxford, U.K. ; 4 Fraunhofer IAIS, Dresden, Germany ; 5 L3S Research Center, University of Hannover, Germany ; 6 TIB Leibniz Information Center for Science and Technology, Hannover, Germany

Keyword(s): Semantic Web, Domain Ontology, Ontology Engineering, Semantic Publishing, Scholarly Communication, Physics.

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. (More)

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Paper citation in several formats:
Say, A.; Fathalla, S.; Vahdati, S.; Lehmann, J. and Auer, S. (2020). Semantic Representation of Physics Research Data. In Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD, ISBN 978-989-758-474-9; ISSN 2184-3228, pages 64-75. DOI: 10.5220/0010111000640075

@conference{keod20,
author={Aysegul Say. and Said Fathalla. and Sahar Vahdati. and Jens Lehmann. and Sören Auer.},
title={Semantic Representation of Physics Research Data},
booktitle={Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD,},
year={2020},
pages={64-75},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010111000640075},
isbn={978-989-758-474-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD,
TI - Semantic Representation of Physics Research Data
SN - 978-989-758-474-9
IS - 2184-3228
AU - Say, A.
AU - Fathalla, S.
AU - Vahdati, S.
AU - Lehmann, J.
AU - Auer, S.
PY - 2020
SP - 64
EP - 75
DO - 10.5220/0010111000640075

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