Semantic Integration of Geospatial Data from Earth Observations

Autor: Cassia Trojahn, Helbert Arenas, Catherine Comparot, Nathalie Aussenac-Gilles
Přispěvatelé: MEthodes et ingénierie des Langues, des Ontologies et du DIscours (IRIT-MELODI), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Centre National de la Recherche Scientifique (CNRS), Université Toulouse - Jean Jaurès (UT2J), Institut National Polytechnique de Toulouse - INPT (FRANCE), Centre National de la Recherche Scientifique - CNRS (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Université Toulouse - Jean Jaurès - UT2J (FRANCE), Université Toulouse 1 Capitole - UT1 (FRANCE), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Matching (statistics)
Geospatial analysis
Computer science
0211 other engineering and technologies
02 engineering and technology
computer.software_genre
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Set (abstract data type)
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
020204 information systems
0202 electrical engineering
electronic engineering
information engineering

Semantic integration
RDF
Geospatial semantics
021101 geological & geomatics engineering
Logique en informatique
Earth observation
Information retrieval
[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]
Informatique et langage
computer.file_format
Intelligence artificielle
Apprentissage
Metadata
Key (cryptography)
Semantic technology
computer
Zdroj: EKAW 2016: Knowledge Engineering and Knowledge Management
20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016)
20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016), Nov 2016, Bologne, Italy. pp. 97-100
Lecture Notes in Computer Science ISBN: 9783319586939
EKAW (Satellite Events)
Popis: International audience; We propose an approach to semantically enrich metadata records of satellite imagery with external data. As a result we are able the identify relevant images using a larger set of matching criteria. Conventional methods for annotating data sets are usually based on metadata records (with attributes such as title, provider, access mode, and spatio-temporal characteristics), which other a narrow view of the world. Enriching metadata with contextual information (i.e., the region depicted in the image has been recently affected by extreme weather) requires formalizing spatio-temporal relationships between metadata records and external data sources. Semantic technologies play a key role in such scenarios by providing an infrastructure based on RDF and ontologies.
Databáze: OpenAIRE