RT Dissertation/Thesis
T1 Efficient access to heterogeneous environmental data repositories through linked data standards
A1 Al-Mobydeen, Shahed Bassam Khalaf
K1 Geospatial Linked Data
K1 Scientific Linked Data
K1 Array Linked Data
K1 Raster Linked Data
K1 GeoSPARQL
K1 Spatial Query Processing
AB This Thesis proposes advances in various components of a newGeoSPARQL query engine, called GeoLD, that enables the efficient integrated querying of heterogeneousenvironmental datasets, including Vector Features and Raster Coverages, which are available through standardweb services of geospatial data infrastructures. The proposed solution enables the access to Raster Coverages byproviding a new Coverage to RDF Mapping Language (C2RML), which enables the programmer to incorporatespecific vocabularies during the definition of the mapping between the coverage data schema and RDF. NewSPARQL operators and a new query optimization strategy provide the algorithms required to reach query responsetimes orders of magnitude faster than those of state of the art technologies. Additionally, contrary to existingapproaches, raster data querying is achieved without the need to use large lists of specific raster manipulationfunctions, which simplifies the programming task.
YR 2022
FD 2022
LK http://hdl.handle.net/10347/29887
UL http://hdl.handle.net/10347/29887
LA eng
DS Minerva
RD 24 abr 2026