A Cloud-Based, Geospatial Linked Data Management System - Transactions on Large-Scale-Data-and Knowledge-Centered Systems XX - page 62

Table 1. Comparison analysis of related work

Approach Distribution Store Geospatial Service Input

type support level mapping

Hausenblas [ 13 ] cloud research none query none

Stein and Zacharias [ 20 ] cloud research none query none

Bugiotti et al. [ 2 ] cloud research none query none

Ladwig and Harth [ 12 ] cloud research none query none

Gueret et al. [ 6 ] clustered/cloud research none query none

Yars2 [ 7 ] clustered research none query none

Mika and Tummarello [ 14 ] clustered research none query none

Tanimura et al. [ 22 ] clustered research none query none

Husain et al. [ 9 ] clustered research none query none

Sun and Jin [ 21 ] clustered research none query none

Papailiou et al. [ 17 ] clustered research none query none

Franke et al. [ 4 ] clustered research none query none

Ravindra et al. [ 18 ] clustered research none query none

Newman et al. [ 16 ] clustered research none query none

Dydra cloud proprietary none management none

AllegroGraph clustered/cloud proprietary basic management none

BigData clustered proprietary none management none

OWLIM clustered/cloud proprietary basic management none

Virtuoso clustered/cloud proprietary basic management multiple

Oracle clustered/cloud proprietary advanced management relational

Strabon [ 11 ] centralized research advanced management none

RDF-3X [ 15 ] centralized research basic management none

Parliament [ 1 ] centralized research basic management none

Yago2 [ 8 ] centralized research basic management none

TDB centralized research none management none

Our approach cloud research advanced management multiple

In the following, we analyze the related work by also clustering it accord-
ing to its distribution capability into different groups mapping to separate sub-
sections. We should also highlight Geoknow ( http://www.geoknow.eu/project )
as an interesting project focusing on addressing the whole management life-cycle
of open geo-spatial LD and supporting the respective SDI standards. However,
this project does not focus on scalability, elasticity and reliability issues.

2.1 Distributed Approaches

In this category, the related work relies on a distributed approach which is either
realized in a cluster of machines or exploits cloud resources. In either type of real-
ization, the approaches attempt to split the data and computation across the
available machines or resources. However, the cloud-based approaches are bet-
ter as they can automatically scale indefinitely through the triggering of scaling