How to feed the squerall with RDF and other data nuts?

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Mami, M.N.; Graux, D.; Scerri, S.; Jabeen, H.; Auer, S. et al.: How to feed the squerall with RDF and other data nuts?. In: Suárez-Figueroa, M.C.; Cheng, G.; Gentile, A.L.; Guéret, C.; Keet, M.; Bernstein, A. (Eds.): ISWC2019-satellites: ISWC 2019 satellites : proceedings of the ISWC 2019 satellite tracks (posters & demonstrations, Industry, and Outrageous Ideas), co-located with 18th International Semantic Web Conference (ISWC 2019). Aachen, Germany : RWTH Aachen, 2019 (CEUR workshop proceedings ; 2456), S. 293-296.

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/9838

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Sum total of downloads: 189




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Abstract: 
Advances in Data Management methods have resulted in a wide array of storage solutions having varying query capabilities and supporting different data formats. Traditionally, heterogeneous data was transformed off-line into a unique format and migrated to a unique data management system, before being uniformly queried. However, with the increasing amount of heterogeneous data sources, many of which are dynamic, modern applications prefer accessing directly the original fresh data. Addressing this requirement, we designed and developed Squerall, a software framework that enables the querying of original large and heterogeneous data on-the-fly without prior data transformation. Squerall is built from the ground up with extensibility in consideration, e.g., supporting more data sources. Here, we explain Squerall’s extensibility aspect and demonstrate step-by-step how to add support for RDF data, a new extension to the previously supported range of data sources.
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 68 35.98%
2 image of flag of United States United States 56 29.63%
3 image of flag of Spain Spain 9 4.76%
4 image of flag of China China 6 3.17%
5 image of flag of No geo information available No geo information available 5 2.65%
6 image of flag of France France 3 1.59%
7 image of flag of Ecuador Ecuador 3 1.59%
8 image of flag of Algeria Algeria 3 1.59%
9 image of flag of Czech Republic Czech Republic 3 1.59%
10 image of flag of Australia Australia 3 1.59%
    other countries 30 15.87%

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