Maurizio Marchese, Lorenzino Vaccari, Pavel Shvaiko, & Juan Pane. (2008). An application of approximate ontology matching in eResponse. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 294–304). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Ontology matching is a key problem in many metadata intensive application domains, including emergency response, data integration, peer-to-peer information sharing, web service composition, and query answering on the web. In this paper we present an emergency response scenario based on the organizational model as used in Trentino region, Italy. We provide a formalization of this scenario with the help of lightweight coordination calculus. Then, we discuss an automatic approximate structure preserving matching algorithm which we applied within the emergency response scenario. The evaluation results, though preliminary, are encouraging.
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Jim Steel, Renato Iannella, & Ho-Pun Lam. (2008). Using ontologies for decision support in resource messaging. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 276–284). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Emergency management is by its nature, and in some jurisdictions by its definition, an activity that requires a concerted effort by a number of governmental and non-governmental agencies. There is a growing appreciation that collaboration between these parties is best served through the use of interoperable standards for message formats for purposes such as alerting and resource exchange. However, it is also important to realize that, although much advantage can be drawn from standardizing certain aspects of communication, such as the structure of messages, different agencies will use different vocabularies. In this paper we discuss how ontologies can be used with standard messaging formats for resource messaging to enable intelligent decision support mechanisms in the presence of differing vocabularies across organizational boundaries. We also present a survey of the opportunities for using ontologies in emergency management, and the issues that must be addressed.
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