Say, A.; Fathalla, S.; Vahdati, S.; Lehmann, J.; Auer, S.: Semantic Representation of Physics Research Data. In: IC3K 2020 : proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowlwedge Engineering and Knowledge Management : Volume 2. [Setúbal] : SCITEPRESS - Science and Technology Publications, Lda., 2020, S. 64-75. DOI: https://doi.org/10.5220/0010111000640075
Zusammenfassung: | |
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. | |
Lizenzbestimmungen: | CC BY-NC-ND 4.0 Unported |
Publikationstyp: | BookPart |
Publikationsstatus: | publishedVersion |
Erstveröffentlichung: | 2020 |
Die Publikation erscheint in Sammlung(en): | Zentrale Einrichtungen |
Pos. | Land | Downloads | ||
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Anzahl | Proz. | |||
1 | Germany | 13 | 52,00% | |
2 | United States | 7 | 28,00% | |
3 | United Kingdom | 2 | 8,00% | |
4 | Singapore | 1 | 4,00% | |
5 | Saudi Arabia | 1 | 4,00% | |
6 | Iran, Islamic Republic of | 1 | 4,00% |
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