Database Reference
In-Depth Information
A Cloud-Based, Geospatial Linked
Data Management System
B
Kyriakos Kritikos 1(
) , Yannis Rousakis 1 , and Dimitris Kotzinos 1 , 2
1 Information Systems Laboratory, Institute of Computer Science,
Foundation of Research and Technology - Hellas (FORTH),
N. Plastira 100, 700 13 Heraklion, Crete, Greece
{ kritikos,rousakis,kotzino } @ics.forth.gr
2 Lab. ETIS (ENSEA/UCP/CNRS UMR 8051),
Department of Computer Science, University of Cergy-Pontoise,
2 av. Adolphe Chauvin, 95000 Pontoise, France
Abstract. The Web has been evolving to a sink of disparate informa-
tion sources which are totally isolated from each other. The technology
of Linked Data (LD) promises to connect such information sources in
order to enable their better exploitation by humans or automated pro-
grams. While various LD management systems have been proposed, only
few of them are able to handle geospatial data which are becoming quite
popular nowadays and lead to the creation of large geospatial footprints.
However, none of the few systems that support Linked Open Geospa-
tial Data is able to scale well to handle the increasing load from user
queries. In addition, the publishing of geospatial LD also becomes quite
advantageous due to complexity reasons. To this end, this article pro-
poses a novel, cloud-based geospatial LD management system which can
scale out or scale in according to the incoming load in order to serve
the respective user requests with the appropriate service level. On top
of this system lies a LD-as-a-service offering which abstracts away the
user from any LD publishing complexities and provides all the appro-
priate functionality for enabling a full LD management. We also study
and propose architectural solutions for the distributed update problem.
The proposed system is evaluated under heavy load scenarios and the
results show that the respective improvement in performance incurred
is quite satisfactory and that the scaling actions are performed at the
appropriate time points.
1
Introduction
While the Web is evolving extremely in many aspects and gets evens bigger, it
still lacks mechanisms through which disparate but related information sources
can be queried to obtain particular data for the current user task at hand. In fact,
this is one of the major disadvantages of the Web which leads to user frustration
as well as to many isolated islands of information which although related cannot
be easily connected.
c
 
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