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

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dc.identifier.uri http://dx.doi.org/10.15488/9838
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/9895
dc.contributor.author Mami, Mohamed Nadjib
dc.contributor.author Graux, Damien
dc.contributor.author Scerri, Simon
dc.contributor.author Jabeen, Hajira
dc.contributor.author Auer, Sören
dc.contributor.author Lehmann, Jens
dc.contributor.editor Suárez-Figueroa, Mari Carmen
dc.contributor.editor Cheng, Gong
dc.contributor.editor Gentile, Anna Lisa
dc.contributor.editor Guéret, Christophe
dc.contributor.editor Keet, Maria
dc.contributor.editor Bernstein, Abraham
dc.date.accessioned 2020-05-25T08:12:43Z
dc.date.available 2020-05-25T08:12:43Z
dc.date.issued 2019
dc.identifier.citation 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.
dc.description.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. eng
dc.language.iso eng
dc.publisher Aachen, Germany : RWTH Aachen
dc.relation.ispartof 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)
dc.relation.ispartofseries CEUR workshop proceedings ; 2456
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject Computer programming eng
dc.subject Digital storage eng
dc.subject Metadata eng
dc.subject Semantic Web eng
dc.subject Data management system eng
dc.subject Data transformation eng
dc.subject Heterogeneous data eng
dc.subject Heterogeneous data sources eng
dc.subject Modern applications eng
dc.subject Query capabilities eng
dc.subject Software frameworks eng
dc.subject Storage solutions eng
dc.subject Information management eng
dc.subject Konferenzschrift ger
dc.subject.ddc 004 | Informatik ger
dc.title How to feed the squerall with RDF and other data nuts?
dc.type BookPart
dc.type Text
dc.relation.issn 1613-0073
dc.bibliographicCitation.volume 2456
dc.bibliographicCitation.firstPage 293
dc.bibliographicCitation.lastPage 296
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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