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Using a Knowledge Graph Data Structure to Analyze Text Documents (VAST Challenge 2014 MC1)

Using a Knowledge Graph Data Structure to Analyze Text Documents (VAST Challenge 2014 MC1)

Publikationstyp: Beitrag zu einer Konferenz
Autor/innen: Stoffel, Florian; Fischer, Fabian
Erscheinungsjahr: 2014
Konferenz: IEEE Conference on Visual Analytics Science and Technology (VAST), 2014, 9. Okt 2014 - 14. Okt 2014, Paris
Erschienen in: 2014 IEEE Conference on Visual Analytics Science and Technology (VAST), Paris, France, 9-14 October 2014, Proceedings / Min Chen ... (Hrsg.). - Piscataway, NJ : IEEE, 2014. - S. 331-332. - ISBN 978-1-4799-6227-3
DOI (zitierfähiger Link): https://dx.doi.org/10.1109/VAST.2014.7042551
Zusammenfassung:
In this paper, we describe the tools and the analysis pipeline we used in order to create a data structure out of the given data. Afterwards, we introduce a workflow used to find answers to the questions of VAST Challenge 2014 MC1. Most of the processes presented in the following have been used solely to create, refine a graph (node-link diagram), which is the foundation for everything we did in this mini challenge.
Fachgebiet (DDC): 004 Informatik
Universitätsbibliographie: Ja

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STOFFEL, Florian, Fabian FISCHER, 2014. Using a Knowledge Graph Data Structure to Analyze Text Documents (VAST Challenge 2014 MC1). IEEE Conference on Visual Analytics Science and Technology (VAST), 2014. Paris, 9. Okt 2014 - 14. Okt 2014. In: MIN CHEN ..., , ed.. 2014 IEEE Conference on Visual Analytics Science and Technology (VAST), Paris, France, 9-14 October 2014, Proceedings. IEEE Conference on Visual Analytics Science and Technology (VAST), 2014. Paris, 9. Okt 2014 - 14. Okt 2014. Piscataway, NJ:IEEE, pp. 331-332. ISBN 978-1-4799-6227-3

@inproceedings{Stoffel2014Using-30004, title={Using a Knowledge Graph Data Structure to Analyze Text Documents (VAST Challenge 2014 MC1)}, year={2014}, doi={10.1109/VAST.2014.7042551}, isbn={978-1-4799-6227-3}, address={Piscataway, NJ}, publisher={IEEE}, booktitle={2014 IEEE Conference on Visual Analytics Science and Technology (VAST), Paris, France, 9-14 October 2014, Proceedings}, pages={331--332}, editor={Min Chen ...}, author={Stoffel, Florian and Fischer, Fabian} }

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