Towards a general theory of action and time
Artificial Intelligence
Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Spatio-Temporal Geographic Information Systems: A Causal Perspective
ADBIS '02 Proceedings of the 6th East European Conference on Advances in Databases and Information Systems
An object-oriented approach to the representation of spatiotemporal geographic features
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Artificial Intelligence and Law
Using Cognitive Archetypes and Conceptual Graphs to Model Dynamic Phenomena in Spatial Environments
ICCS '07 Proceedings of the 15th international conference on Conceptual Structures: Knowledge Architectures for Smart Applications
On What Goes On: The Ontology of Processes and Events
Proceedings of the 2006 conference on Formal Ontology in Information Systems: Proceedings of the Fourth International Conference (FOIS 2006)
Modeling geospatial events and impacts through qualitative change
SC'06 Proceedings of the 2006 international conference on Spatial Cognition V: reasoning, action, interaction
Ontologies in amine platform: structures and processes
ICCS'06 Proceedings of the 14th international conference on Conceptual Structures: inspiration and Application
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Sensor networks prove extremely valuable in providing geo-information for any decision support system particularly those aiming to manage hazardous events. A thorough understanding and use of the semantics of this information allows for the identification and handling of impending hazardous events. An appropriate representation of the geo-information should boost this process. In this paper, we propose to encode causality relationships about natural phenomena and their effects in time and space with the concept of conceptual graphs. Using this encoding, we define the concepts of event and spatial propagation paths that enable the system to delimit the scope of sensed areas and use of sensing resources. These concepts also enable the system to set up priorities between the sensor network activities. These priorities are used to implement a progressive approach for the management of hazardous events.