SCARE - Κλιμακώσιμη Επεξεργασία Επερωτήσεων και Συμπερασμός για Διασυνδεδεμένα Γεωχωρικά Δεδομένα
Project website:  SCARE 
Principal Investigator: Manolis Koubarakis
Duration: 17/03/2014 - 31/07/2015
Linked data is a new research area which studies how one can make RDF data available on the Web, 
and interconnect it with other data with the aim of increasing its value for users. 
The resulting “Web of data” has recently started being populated with geospatial data. Given the current amount and 
rate of increase of linked geospatial data, we expect that we will soon have petabytes (PBs) 
of such data available on the Web. However, there are 
currently no scalable techniques and systems that can be used to deal with this particular kind of “big data”. 
The main objective of SCARE is to develop the theoretical principles and software systems 
that will close this gap in research and technological development. The detailed technical 
objectives of SCARE are the following: 
1. To develop the formal foundations of reasoning and query processing for linked geospatial data. 
In particular, to develop a formal semantics for the query language GeoSPARQL recently proposed 
by the Open Geospatial Consortium as a standard for querying geospatial data expressed in RDF. 
Also, πto study formally the computational complexity of reasoning and query processing for the query 
language GeoSPARQL using established techniques from knowledge representation and database theory. 
2. To develop techniques that exploit recent advances in computer hardware (multicore processors, clusters and clouds) 
and enable us to deal efficiently with the scale of linked geospatial data that we envision. 
In particular, to develop parallel algorithms for GeoSPARQL reasoning and query processing in clusters and clouds. 
Given the details of GeoSPARQL, a major goal of SCARE in this area is the development of parallel 
constraint-based qualitative spatial reasoning techniques that will scale to big data. 
3. To integrate the developed algorithms in a prototype system that we will make available 
to the research community as open source software.



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