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.
CITATION STYLE
Tran, B. H., Plumejeaud-Perreau, C., & Bouju, A. (2018). A web interface for exploiting spatio-temporal heterogeneous data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10819 LNCS, pp. 118–129). Springer Verlag. https://doi.org/10.1007/978-3-319-90053-7_12
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