Statistics – Applications
Scientific paper
Sep 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004esasp.553e...5p&link_type=abstract
Proceedings of ESA-EUSC 2004 - Theory and Applications of Knowledge-Driven Image Information Mining with Focus on Earth Observa
Statistics
Applications
Scientific paper
This paper discusses an ontology-aided approach to EO product search. A specific user domain ontology, an EO domain ontology are proposed and linked. The user domain ontology covers the case studies of water quality and maritime security while the EO domain covers oil-spills, algae bloom, ship detection and wind and waves information. This work is based on AI technologies such as ontologies, knowledge based systems, knowledge discovery and data mining. The ontology described is part of the project EO-KES- B - Earth Observation domain-specific Knowledge Enabled Services under development for the ESA/ESRIN (European Space Agency/ European Space Research Institute).
Bravo P.
D'Elia S.
Falco Antonio
Pantoquilho M.
Pereira Antonio
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