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Auer, S.; Kovtun, V.; Prinz, M.; Kasprzik, A.; Stocker, M.: Towards a Knowledge Graph for Science. In: Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics (WIMS 2018), 6 S. https://wims2018.pmf.uns.ac.rs/

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/3401

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Sum total of downloads: 1,239




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Abstract: 
The document-centric workflows in science have reached (or already exceeded) the limits of adequacy. This is emphasized by recent discussions on the increasing proliferation of scientific literature and the reproducibility crisis. This presents an opportunity to rethink the dominant paradigm of document-centric scholarly information communication and transform it into knowledge-based information flows by representing and expressing information through semantically rich, interlinked knowledge graphs. At the core of knowledge-based information flows is the creation and evolution of information models that establish a common understanding of information communicated between stakeholders as well as the integration of these technologies into the infrastructure and processes of search and information exchange in the research library of the future. By integrating these models into existing and new research infrastructure services, the information structures that are currently still implicit and deeply hidden in documents can be made explicit and directly usable. This has the potential to revolutionize scientific work as information and research results can be seamlessly interlinked with each other and better matched to complex information needs. Furthermore, research results become directly comparable and easier to reuse. As our main contribution, we propose the vision of a knowledge graph for science, present a possible infrastructure for such a knowledge graph as well as our early attempts towards an implementation of the infrastructure.
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
Document Type: conferenceObject
Publishing status: acceptedVersion
Issue Date: 2018
Appears in Collections:Zentrale Einrichtungen
Forschungszentren

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 475 38.34%
2 image of flag of United States United States 168 13.56%
3 image of flag of China China 98 7.91%
4 image of flag of India India 81 6.54%
5 image of flag of Pakistan Pakistan 55 4.44%
6 image of flag of United Kingdom United Kingdom 33 2.66%
7 image of flag of Austria Austria 27 2.18%
8 image of flag of Japan Japan 22 1.78%
9 image of flag of France France 22 1.78%
10 image of flag of Switzerland Switzerland 20 1.61%
    other countries 238 19.21%

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