Reference : TOWARDS AN ONTOLOGY FOR THE STRUCTURING OF REMOTE SENSING OPERATIONS SHARED BY DIFFER...
Scientific congresses and symposiums : Paper published in a journal
Engineering, computing & technology : Computer science
http://hdl.handle.net/2268/228011
TOWARDS AN ONTOLOGY FOR THE STRUCTURING OF REMOTE SENSING OPERATIONS SHARED BY DIFFERENT PROCESSING CHAINS
English
Nys, Gilles-Antoine mailto [Université de Liège - ULiège > Département de géographie > Unité de Géomatique - Topographie et géométrologie >]
Kasprzyk, Jean-Paul mailto [Université de Liège - ULiège > Département de géographie > Unité de Géomatique - Topographie et géométrologie >]
Hallot, Pierre mailto [Université de Liège - ULiège > Département d'Architecture > Relevé, étude et représentation géom. et du patrimoine bâti >]
Billen, Roland mailto [Université de Liège - ULiège > Département de géographie > Unité de Géomatique - Topographie et géométrologie >]
19-Sep-2018
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Elsevier
XLII
4
3D Spatial Information Science – The Engine of Change
483-490
Yes (verified by ORBi)
International
1682-1750
2194-9034
Volumes ISPRS TC IV Mid-term Symposium
from 01-10-2018 to 05-10-2018
Delft
Netherlands
[en] Ontology engineering ; Remote sensing ; NoSQL database ; Graph mining ; Knowledge discovery
[en] This paper proposes an ontology to structure and describe processing chains in the remote sensing field. These chains are made up of elementary elements (operations) organized in collections. The collection notion, including information about order and repeatability of the elements, is widely defined by using the relations between their constituting items and relations to the whole data store. Applications of the ontology are illustrated with web services provided by a platform for users and providers of processing chains. A graphical interface facilitates data integration in a RDF triple store. Thanks to the management of metadata (ISO19115-3), relevant information can be requested by intelligent search engines. Graph analysis, errors management and consistency rules are computed in order to gather coherent information from the different sources. Results of these analyses are then used by machine learning algorithms for new knowledge discovery.
Geomatics Unit
Plan Marshall 4.0, Walloon Region
EORegion
Researchers ; Professionals ; Students ; General public ; Others
http://hdl.handle.net/2268/228011
10.5194/isprs-archives-XLII-4-483-2018
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4/483/2018/

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