University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Implementation of Federated Query Processing on Linked Data

Zhou, Y, De, S and Moessner, K Implementation of Federated Query Processing on Linked Data In: 24th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2013-09-08 - 2013-09-11, London, UK.

CameraReady_PIMRC2013_SDe.pdf - ["content_typename_UNSPECIFIED" not defined]

Download (258kB) | Preview


As the number of Linked Data sets increases with more and more interconnections defined between them, querying a single data set is no longer enough for users who need data from mixed domains. The requirement to query data from different data sets motivates the research into federated queries. Network latency is one of the key factors which affect the performance of a federated query. The influence of network latency can be minimised by decreasing the number of remote requests, which is related to the number of joins. In this paper, we provide a mechanism for federated querying based on subject and sameAs grouping techniques. Exploiting the benefits of proposed grouping methods, the number of joins during a federated query has been reduced, thus improving the performance of the entire query. We have evaluated our approach against other existing approaches, using an existing benchmark suite and found that our approach performs better than comparable approaches for queries that are not highly selective.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :
Zhou, Y
De, S
Moessner, K
DOI : 10.1109/PIMRC.2013.6666765
Copyright Disclaimer : © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Contributors :
Uncontrolled Keywords : Linked Data, Federated Query Processing
Depositing User : Symplectic Elements
Date Deposited : 08 Nov 2013 09:59
Last Modified : 14 Jul 2017 10:10

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800