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Exploiting web ontologies for automated critical infrastructure data retrieval

Abstract : Semantic web technologies play a significant role in many open data initiatives, including geo-mapping projects and platforms. At the same time, semantic principles are also promoted as a key enabling factor for multi-domain analyses of critical infrastructures as well as for improved emergency response. This chapter reviews the recent literature on ontology-based analysis and management of critical infrastructures, and proposes the use of ontology processing techniques to bridge the gap between infrastructure knowledge representation and available (often general-purpose) open data sources. In particular, it discusses an approach for matching a given critical infrastructure ontology to an ontology built on OpenStreetMap (OSM) tags that enables structured access to the associated geographical dataset.
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Submitted on : Wednesday, June 20, 2018 - 9:24:00 AM
Last modification on : Friday, October 23, 2020 - 4:34:26 PM
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Luca Galbusera, Georgios Giannopoulos. Exploiting web ontologies for automated critical infrastructure data retrieval. 11th International Conference on Critical Infrastructure Protection (ICCIP), Mar 2017, Arlington, VA, United States. pp.119-136, ⟨10.1007/978-3-319-70395-4_7⟩. ⟨hal-01819139⟩



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