Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/5488
Full metadata record
DC FieldValueLanguage
dc.contributor.authorOğuz, Damla-
dc.contributor.authorErgenç, Belgin-
dc.contributor.authorYin, Shaoyi-
dc.contributor.authorDikenelli, Oğuz-
dc.contributor.authorHameurlain, Abdelkader-
dc.date.accessioned2017-05-12T08:36:59Z-
dc.date.available2017-05-12T08:36:59Z-
dc.date.issued2015-08-
dc.identifier.citationOğuz, D., Ergenç, B., Yin, S., Dikenelli, O., and Hameurlain, A. (2015). Federated query processing on linked data: A qualitative survey and open challenges. Knowledge Engineering Review, 30(5), 545-563. doi:10.1017/S0269888915000107en_US
dc.identifier.issn0269-8889-
dc.identifier.issn1469-8005-
dc.identifier.urihttp://doi.org/10.1017/S0269888915000107-
dc.identifier.urihttp://hdl.handle.net/11147/5488-
dc.description.abstractA large number of data providers publish and connect their structured data on the Web as linked data. Thus, the Web of data becomes a global data space. In this paper, we initially give an overview of query processing approaches used in this interlinked and distributed environment, and then focus on federated query processing on linked data. We provide a detailed and clear insight on data source selection, join methods and query optimization methods of existing query federation engines. Furthermore, we present a qualitative comparison of these engines and give a complementary comparison of the measured metrics of each engine with the idea of pointing out the major strengths of each one. Finally, we discuss the major challenges of federated query processing on linked data. © 2015 Cambridge University Press.en_US
dc.description.sponsorshipThe Scientific and Technological Research Council of Turkeyen_US
dc.language.isoenen_US
dc.publisherCambridge University Pressen_US
dc.relation.ispartofKnowledge Engineering Reviewen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectData handlingen_US
dc.subjectQuery processingen_US
dc.subjectSearch enginesen_US
dc.subjectDistributed environmentsen_US
dc.subjectNumber of datumen_US
dc.titleFederated Query Processing on Linked Data: a Qualitative Survey and Open Challengesen_US
dc.typeArticleen_US
dc.authorid0000-0001-6556-7444en_US
dc.authorid0000-0001-6193-9853en_US
dc.institutionauthorOğuz, Damla-
dc.institutionauthorErgenç, Belgin-
dc.departmentİzmir Institute of Technology. Computer Engineeringen_US
dc.identifier.volume30en_US
dc.identifier.issue5en_US
dc.identifier.startpage545en_US
dc.identifier.endpage563en_US
dc.identifier.wosWOS:000365003400004en_US
dc.identifier.scopus2-s2.0-84949424187en_US
dc.relation.publicationcategoryDiğeren_US
dc.identifier.doi10.1017/S0269888915000107-
dc.relation.doi10.1017/S0269888915000107en_US
dc.coverage.doi10.1017/S0269888915000107en_US
dc.identifier.wosqualityQ4-
dc.identifier.scopusqualityQ2-
item.fulltextWith Fulltext-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.languageiso639-1en-
item.cerifentitytypePublications-
crisitem.author.dept03.04. Department of Computer Engineering-
crisitem.author.dept03.04. Department of Computer Engineering-
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Sürdürülebilir Yeşil Kampüs Koleksiyonu / Sustainable Green Campus Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Files in This Item:
File Description SizeFormat 
5488.pdfİnceleme (Review)443.33 kBAdobe PDFThumbnail
View/Open
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

23
checked on Dec 20, 2024

WEB OF SCIENCETM
Citations

16
checked on Dec 7, 2024

Page view(s)

388
checked on Dec 23, 2024

Download(s)

960
checked on Dec 23, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.