Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/5488
Title: Federated Query Processing on Linked Data: a Qualitative Survey and Open Challenges
Authors: Oğuz, Damla
Ergenç, Belgin
Yin, Shaoyi
Dikenelli, Oğuz
Hameurlain, Abdelkader
Keywords: Data handling
Query processing
Search engines
Distributed environments
Number of datum
Publisher: Cambridge University Press
Source: Oğuz, 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/S0269888915000107
Abstract: A 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.
URI: http://doi.org/10.1017/S0269888915000107
http://hdl.handle.net/11147/5488
ISSN: 0269-8889
1469-8005
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

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