Reference : A Semantic Retrieval System for Remote Sensing Web Platforms
Scientific congresses and symposiums : Paper published in a journal
Engineering, computing & technology : Computer science
http://hdl.handle.net/2268/238143
A Semantic Retrieval System for Remote Sensing Web Platforms
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 > Serv. d'étude en géographie éco. fond. et appliquée (Segefa) >]
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 >]
5-Jun-2019
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Copernicus
XLII-2
W13
C3M&GBD
1593-1599
Yes (verified by ORBi)
Yes
International
1682-1750
2194-9034
Goettingen
Germany
ISPRS GeoSpatial Week 2019
from 10-06-25019 to 14-06-2019
ISPRS
Enschede
Netherlands
[en] Ontology engineering ; Remote sensing ; NoSQL Database ; natural language processing ; Semantic
[en] This paper proposes a solution to reduce the semantic gap between final users and data/processing providers in a web market place dedicated to remote sensing products. Nowadays, search engine are common tools on the Internet. Users are accustomed to use them and used to get tabular classification of provided answers. These smart agents are set up to answer basic questions using automatic pages redirection or chitchat. In this research, to ensure coherence between user’s requests and platform answers, natural language processing algorithms and knowledge graphs are integrated within a web platform thanks to a NoSQL graph database connected to open thesauri and Geographic Information Systems (GIS). Therefore, the most pertinent services can be proposed based on input sentences including non-technical vocabulary but also geographical components (the user interface includes a text area and an interactive map). While processing chains and remote sensing ontologies were presented in one of our previous studies, this article focuses on natural languages algorithms and knowledge mining.
Geomatics Unit
Politique Scientifique Fédérale (Belgique) - BELSPO
EORegions_Science
Researchers ; Professionals
http://hdl.handle.net/2268/238143
10.5194/isprs-archives-XLII-2-W13-1593-2019

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