Using Conceptual and Ontological Models for Tracking Changes of Spatio-Temporal Objects and Concepts over Time

نویسندگان

  • Chamseddine Zaki
  • Myriam Servières
  • Guillaume Moreau
چکیده

In this paper, we present a new approach that benefits from the advantages of both conceptual and ontological models in order to provide a powerful spatio-temporal data model for geographic information systems (GIS). We base our model on the MADS conceptual model that is transformed to a corresponding ontology model, using database to ontology mapping techniques and a set of transformation rules. The resulting ontology allows the system to be dynamic by adding or changing concepts. Our approach allows the tracking of historical changes of spatio-temporal objects and concepts over time by adding new explicit temporal relationships to the ontology.

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تاریخ انتشار 2009