Sommaire de la publication

Sommaire de la publication

Bakillah, M., M. Mostafavi, J. Brodeur, Y. BĂ©dard, 2007, Mapping between dynamic ontologies in support of geospatial data integration for disaster management, Dans: Li, J., S. Zlatanova, A. Fabbri (ed(s)), Geomatics solutions for disaster management, Lecture Notes in Computer Science, pp. 201-224

Abstract

The effective management of disasters requires providing relevant and right information
to the concerned decision makers. By its nature, disaster management
involves multiple actors and organizations, potentially implying a significant volume
of geospatial data coming from heterogeneous and autonomous geospatial
data sources. Integration of these data sources is difficult not only because of the
semantic heterogeneity of data but also because of the dynamic nature of the reality
that is studied. The dynamic aspect of the reality has a direct impact in the conceptualisation
of such a reality by adding different event categories to the domain
ontology, thus making more complicated to apply existing methods for the mapping
and integration of ontologies. In this article, we highlight some problems of
heterogeneity that complicate the integration of ontologies composed of objects
and events concepts; we also propose a similarity model designed to support mapping
of these ontologies.