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Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/1002
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dc.contributor.authorGeorgala, Kleanthien_US
dc.contributor.authorSpasić, Mirkoen_US
dc.contributor.authorJovanovik, Milosen_US
dc.contributor.authorPapakonstantinou, Vassilisen_US
dc.contributor.authorStadler, Clausen_US
dc.contributor.authorRöder, Michaelen_US
dc.contributor.authorNgomo, Axel Cyrille Ngongaen_US
dc.date.accessioned2022-08-17T11:19:51Z-
dc.date.available2022-08-17T11:19:51Z-
dc.date.issued2018-01-01-
dc.identifier.isbn9783030000714-
dc.identifier.issn18650929en
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/1002-
dc.description.abstractThe aim of the Mighty Storage Challenge (MOCHA) at ESWC 2018 was to test the performance of solutions for SPARQL processing in aspects that are relevant for modern applications. These include ingesting data, answering queries on large datasets and serving as backend for applications driven by Linked Data. The challenge tested the systems against data derived from real applications and with realistic loads. An emphasis was put on dealing with data in form of streams or updates.en
dc.relation.ispartofCommunications in Computer and Information Scienceen_US
dc.titleMOCHA2018: The Mighty Storage Challenge at ESWC 2018en_US
dc.typeConference Paperen_US
dc.relation.publicationSemantic Web Evaluation Challenge SemWebEval 2018en_US
dc.identifier.doi10.1007/978-3-030-00072-1_1-
dc.identifier.scopus2-s2.0-85055640623-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85055640623-
dc.contributor.affiliationInformatics and Computer Scienceen_US
dc.relation.firstpage3en_US
dc.relation.lastpage16en_US
dc.relation.volume927en_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeConference Paper-
crisitem.author.deptInformatics and Computer Science-
crisitem.author.orcid0000-0002-9304-4007-
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