Federated Query Processing on Linked Data: a Qualitative Survey and Open Challenges
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Open Access Color
BRONZE
Green Open Access
Yes
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38
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10
Publicly Funded
No
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.
Description
Keywords
Data handling, Query processing, Search engines, Distributed environments, Number of datum, Théorie de l'information, Query processing, 000, Number of datum, Recherche d'information, Data handling, Distributed environments, 004, [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], Search engines, Knowledge engineering
Fields of Science
02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering
Citation
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
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OpenCitations Citation Count
24
Volume
30
Issue
5
Start Page
545
End Page
563
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CrossRef : 27
Scopus : 26
Patent Family : 1
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Mendeley Readers : 20
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26
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Web of Science™ Citations
17
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1080
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915
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