Federated Query Processing on Linked Data: a Qualitative Survey and Open Challenges

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BRONZE

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Yes

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38

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10

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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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24

Volume

30

Issue

5

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545

End Page

563
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CrossRef : 27

Scopus : 26

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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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Page Views

1080

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Downloads

915

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