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dc.contributor.authorOğuz, Damla
dc.contributor.authorYin, Shaoyi
dc.contributor.authorErgenç, Belgin
dc.contributor.authorHameurlain, Abdelkader
dc.contributor.authorDikenelli, Oğuz
dc.date.accessioned2019-03-01T11:57:56Z
dc.date.available2019-03-01T11:57:56Z
dc.date.issued2017-09
dc.identifier.citationOğuz, D., Yin, S., Ergenç, B., Hameurlain, A., and Dikenelli, O. (2017). Extended adaptive join operator with bind-bloom join for federated SPARQL queries. International Journal of Data Warehousing and Mining, 13(3), 47-72. doi:10.4018/IJDWM.2017070103en_US
dc.identifier.issn1548-3924
dc.identifier.urihttp://doi.org/10.4018/IJDWM.2017070103
dc.identifier.urihttp://hdl.handle.net/11147/7134
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.sponsorshipThe Scientific and Technological Research Council of Turkey (TUBITAK)en_US
dc.language.isoengen_US
dc.publisherIGI Globalen_US
dc.relation.isversionof10.4018/IJDWM.2017070103en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_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
dc.contributor.authorIDTR130596en_US
dc.contributor.iztechauthorOğuz, Damla
dc.contributor.iztechauthorErgenç, Belgin
dc.relation.journalInternational Journal of Data Warehousing and Miningen_US
dc.contributor.departmentIzmir Institute of Technology. Computer Engineeringen_US
dc.identifier.volume13en_US
dc.identifier.issue3en_US
dc.identifier.startpage47en_US
dc.identifier.endpage72en_US
dc.identifier.wosWOS:000407858600003
dc.identifier.scopusSCOPUS:2-s2.0-85022320823
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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