In order to enhance interoperability and productivity in the develop-ment of situation-aware applications for disaster management, proper mecha-nisms and guidelines are required. They must address the lack of semantics in modelling emergency situations. In addition, the ever changing and unpredicta-ble nature of disaster scenarios present challenges for information processing and collaboration. This paper proposes a framework that combines the follow-ing elements: (i) a foundational ontology for temporal conceptualization; (ii) well-founded specifications of structural and behavioral models; (iii) a CEP en-gine based on a distributed rule-based platform for situation management; (iv) a model-driven approach. We illustrate the operation of the framework with a scenario for monitoring tuberculosis epidemy.
|Title of host publication||Proceedings of the RuleML 2015 Challenge, Special Track on Rule-based Recommender Systems for the Web of Data, Special Industry Track, and RuleML 2015 Doctoral Consortium|
|Place of Publication||Aachen|
|Number of pages||6|
|Publication status||Published - 2015|
|Name||CEUR Workshop Proceedings|
- Disaster Management
- Situation-aware application
- Context-aware application
- Rule-based platform
Moreira, J., Moreira, J., Ferreira Pires, L., van Sinderen, M. J., & Dockhorn Costa, P. (2015). Developing situation-aware applications for disaster management with a distributed rule-based platform. In Proceedings of the RuleML 2015 Challenge, Special Track on Rule-based Recommender Systems for the Web of Data, Special Industry Track, and RuleML 2015 Doctoral Consortium (pp. -). (CEUR Workshop Proceedings; Vol. 1417). Aachen: CEUR.