A graph database for persistent identifiers

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Doan, T.; Wiese, L.; Bingert, S.; Yahyapour, R.: A graph database for persistent identifiers. In: Jäschke, R.; Weidlich, M. (Eds.): LWDA 2019 - Lernen, Wissen, Daten, Analysen 2019 : proceedings of the Conference on "Lernen, Wissen, Daten, Analysen". Aachen, Germany : RWTH Aachen, 2019 (CEUR workshop proceedings ; 2454), S. 1-5.

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/9817

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Sum total of downloads: 217




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Abstract: 
The Handle Software manages references to resources of information. However, it does not support a search functionality. A prior implementation with Elasticsearch could not efficiently capture the complex structure of our dataset, especially the relationships between handles. In this paper, we apply a graph database together with Elasticsearch to provide more search capabilities to users. In addition, the graph can efficiently store meta-data provided during handle creation. Further use cases for this graph include redundancy detection (two or more handles pointing to the same URL), or bibliographic network analysis.
License of this version: CC BY 4.0 Unported
Document Type: BookPart
Publishing status: publishedVersion
Issue Date: 2019
Appears in Collections:Forschungszentren

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 120 55.30%
2 image of flag of United States United States 39 17.97%
3 image of flag of Vietnam Vietnam 8 3.69%
4 image of flag of China China 7 3.23%
5 image of flag of Spain Spain 6 2.76%
6 image of flag of Netherlands Netherlands 4 1.84%
7 image of flag of Taiwan Taiwan 3 1.38%
8 image of flag of Philippines Philippines 3 1.38%
9 image of flag of United Kingdom United Kingdom 3 1.38%
10 image of flag of Canada Canada 2 0.92%
    other countries 22 10.14%

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