[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.
Research Center/Unit :
Geomatics Unit
Disciplines :
Computer science
Author, co-author :
Nys, Gilles-Antoine ; Université de Liège - ULiège > Département de géographie > Unité de Géomatique - Topographie et géométrologie
Kasprzyk, Jean-Paul ; Université de Liège - ULiège > Département de géographie > Unité de Géomatique - Topographie et géométrologie
Hallot, Pierre ; Université de Liège - ULiège > Département d'Architecture > Relevé, étude et représentation géom. et du patrimoine bâti
Billen, Roland ; Université de Liège - ULiège > Département de géographie > Unité de Géomatique - Topographie et géométrologie
Language :
English
Title :
TOWARDS AN ONTOLOGY FOR THE STRUCTURING OF REMOTE SENSING OPERATIONS SHARED BY DIFFERENT PROCESSING CHAINS
Publication date :
19 September 2018
Event name :
Volumes ISPRS TC IV Mid-term Symposium
Event place :
Delft, Netherlands
Event date :
from 01-10-2018 to 05-10-2018
Audience :
International
Journal title :
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ISSN :
1682-1750
eISSN :
2194-9034
Publisher :
Elsevier
Special issue title :
3D Spatial Information Science – The Engine of Change
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