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- Ba-Huy Tran L3i Laboratory, University of La Rochelle, La Rochelle, France,
L3i Laboratory, University of La Rochelle, La Rochelle, France
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- Christine Plumejeaud-Perreau LIENSs Laboratory, U.M.R. 7266, CNRS and University of La Rochelle, La Rochelle, France,
LIENSs Laboratory, U.M.R. 7266, CNRS and University of La Rochelle, La Rochelle, France
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- Alain Bouju L3i Laboratory, University of La Rochelle, La Rochelle, France
L3i Laboratory, University of La Rochelle, La Rochelle, France
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Web and Wireless Geographical Information Systems: 16th International Symposium, W2GIS 2018, A Coruña, Spain, May 21–22, 2018, ProceedingsMay 2018Pages 118–129https://doi.org/10.1007/978-3-319-90053-7_12
Published:21 May 2018Publication History
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Web and Wireless Geographical Information Systems: 16th International Symposium, W2GIS 2018, A Coruña, Spain, May 21–22, 2018, Proceedings
A Web Interface for Exploiting Spatio-Temporal Heterogeneous Data
Pages 118–129
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Abstract
Nowadays, in several domains, data can be available from a multitude of sources using many models. Because of their heterogeneity, it is difficult to retrieve, combine and exploit this information. We present in this paper a Web interface for exploiting spatio-temporal heterogeneous data. The system is based on semantic data integration process using a materialization approach. A mechanism is proposed to enriched the knowledge base with spatio-temporal rules and experts knowledge. The system can be applied for various scenarios, and we illustrate this with two of our projects.
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Published in
Web and Wireless Geographical Information Systems: 16th International Symposium, W2GIS 2018, A Coruña, Spain, May 21–22, 2018, Proceedings
May 2018
181 pages
ISBN:978-3-319-90052-0
DOI:10.1007/978-3-319-90053-7
- Editors:
- Miguel R. Luaces
Universidade da Coruña, A Coruña, Spain
, - Farid Karimipour
University of Tehran, Tehran, Iran
© Springer International Publishing AG, part of Springer Nature 2018
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Publication History
- Published: 21 May 2018
Author Tags
- Spatio-temporal
- Heterogeneous data
- Data integration
- Ontology
Qualifiers
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