Extended Adaptive Join Operator with Bind-Bloom Join for Federated SPARQL Queries

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dc.contributor.authorOguz, Damla
dc.contributor.authorYin, Shaoyi
dc.contributor.authorErgenc, Belgin
dc.contributor.authorHameurlain, Abdelkader
dc.contributor.authorDikenelli, Oguz
dc.date.accessioned2019-10-27T11:06:57Z
dc.date.available2019-10-27T11:06:57Z
dc.date.issued2017
dc.departmentEge Üniversitesien_US
dc.description.abstractThe goal of query optimization in query federation over linked data is to minimize the response time and the completion time. Communication time has the highest impact on them both. Static query optimization can end up with inefficient execution plans due to unpredictable data arrival rates and missing statistics. This study is an extension of adaptive join operator which always begins with symmetric hash join to minimize the response time, and can change the join method to bind join to minimize the completion time. The authors extend adaptive join operator with bind-bloom join to further reduce the communication time and, consequently, to minimize the completion time. They compare the new operator with symmetric hash join, bind join, bind-bloom join, and adaptive join operator with respect to the response time and the completion time. Performance evaluation shows that the extended operator provides optimal response time and further reduces the completion time. Moreover, it has the adaptation ability to different data arrival rates.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK)en_US
dc.description.sponsorshipThis work is partially supported by The Scientific and Technological Research Council of Turkey (TUBITAK).en_US
dc.identifier.doi10.4018/IJDWM.2017070103
dc.identifier.endpage72en_US
dc.identifier.issn1548-3924
dc.identifier.issn1548-3932
dc.identifier.issn1548-3924en_US
dc.identifier.issn1548-3932en_US
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage47en_US
dc.identifier.urihttps://doi.org/10.4018/IJDWM.2017070103
dc.identifier.urihttps://hdl.handle.net/11454/31954
dc.identifier.volume13en_US
dc.identifier.wosWOS:000407858600003en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIgi Globalen_US
dc.relation.ispartofInternational Journal of Data Warehousing and Miningen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAdaptive Query Optimizationen_US
dc.subjectBloom Filteren_US
dc.subjectDistributed Query Processingen_US
dc.subjectJoin Methodsen_US
dc.subjectLinked Dataen_US
dc.subjectQuery Federationen_US
dc.titleExtended Adaptive Join Operator with Bind-Bloom Join for Federated SPARQL Queriesen_US
dc.typeArticleen_US

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