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.
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