An Early Warning System (EWS) is a system-of-systems that is able to detect emergency risks and warn different stakeholders. Semantic interoperability is crucial in these systems because it enables unambiguous data exchange, so that different data sources can be integrated with EWS'. This chapter presents the results of our systematic literature review on EWS interoperability. The research questions targeted existing interoperable EWS' and their architecture and components' functions, emphasizing the role of data representation mechanisms, for example, data/message models, protocols and ontologies. Since semantic models rely on syntactical models, this review also includes these data representation approches. This chapter also analyzes the main issues concerning the improvement of EWS interoperability, stressing the role of the internet of Things in smart situation-aware emergency services. We conclude by proposing topics for follow-up research.
|Title of host publication||Enterprise Interoperability|
|Subtitle of host publication||Smart Services and Business Impact of Enterprise Interoperability|
|Pages||407 - 413|
|Number of pages||7|
|Publication status||Published - 30 Aug 2018|
|Event||Interoperability for Enterprise Systems and Applications 2018 - Berlin, Germany|
Duration: 22 Mar 2018 → 23 Mar 2018
|Conference||Interoperability for Enterprise Systems and Applications 2018|
|Abbreviated title||I-ESA 2018|
|Period||22/03/18 → 23/03/18|
- Enterprise Interoperability
Moreira, J. L., Ferreira Pires, L., Dockhorn Costa, P., & van Sinderen, M. J. (2018). Semantic Interoperability of Early Warning Systems: a Systematic Literature Review. In Enterprise Interoperability: Smart Services and Business Impact of Enterprise Interoperability (pp. 407 - 413). Wiley.