2. Repository of UKIM
  3. Faculty of Computer Science and Engineering
  4. Faculty of Computer Science and Engineering: Conference papers

Repository of UKIM


Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/15573
DC FieldValueLanguage
dc.contributor.authorGeorgala, Kleanthien_US
dc.contributor.authorSpasić, Mirkoen_US
dc.contributor.authorJovanovik, Milosen_US
dc.contributor.authorPetzka, Henningen_US
dc.contributor.authorRöder, Michaelen_US
dc.contributor.authorNgomo, Axel-Cyrille Ngongaen_US
dc.date.accessioned2021-12-02T11:28:08Z-
dc.date.available2021-12-02T11:28:08Z-
dc.date.issued2017-10-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/15573-
dc.description.abstractThe aim of the Mighty Storage Challenge (MOCHA) at ESWC 2017 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_US
dc.language.isoenen_US
dc.publisherSpringer International Publishingen_US
dc.subjectBenchmarkingen_US
dc.subjectLinked Dataen_US
dc.subjectSPARQLen_US
dc.subjectRDFen_US
dc.subjectRDF Triplestoresen_US
dc.titleMOCHA2017: The Mighty Storage Challenge at ESWC 2017en_US
dc.typeBook chapteren_US
dc.typeProceeding articleen_US
dc.relation.conferenceSemantic Web Challengesen_US
dc.relation.conferenceESWC 2017en_US
dc.identifier.doi10.1007/978-3-319-69146-6_1-
dc.identifier.urlhttp://link.springer.com/content/pdf/10.1007/978-3-319-69146-6_1-
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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