A logic-based calculus of events
New Generation Computing
Maintaining knowledge about temporal intervals
Communications of the ACM
Semantic Granularity in Ontology-Driven Geographic Information Systems
Annals of Mathematics and Artificial Intelligence
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Annals of Mathematics and Artificial Intelligence
A Spatial Model Based on the Notions of Spatial Conceptual Map and of Object's Influence Areas
COSIT '99 Proceedings of the International Conference on Spatial Information Theory: Cognitive and Computational Foundations of Geographic Information Science
Modeling Topological Constraints in Spatial Part-Whole Relationships
ER '01 Proceedings of the 20th International Conference on Conceptual Modeling: Conceptual Modeling
Qualitative Spatial Representation and Reasoning: An Overview
Fundamenta Informaticae - Qualitative Spatial Reasoning
Ontologies in amine platform: structures and processes
ICCS'06 Proceedings of the 14th international conference on Conceptual Structures: inspiration and Application
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
AICT'11 Proceedings of the 2nd international conference on Applied informatics and computing theory
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In this paper we propose a qualitative model to represent and reason about dynamic phenomena in a geographic space. Our model is based on linguistic cognitive archetypes, ontological definitions of geographic space and Conceptual Graphs (CGs). In a first part, we present the main concepts of the model and how we define them using CGs. In a second part, we present an overview of how this model is applied to the multiagent geosimulation domain in the context of the MAGS-COA project. Our model is original for two main reasons. First we use a linguistic approach to qualitatively model dynamic situations in a geographic environment. Second, we use CGs to represent the knowledge associated with such situations. Using CGs makes our model computationally feasible and useable to carry out spatial qualitative reasoning.