Exploiting web ontologies for automated critical infrastructure data retrieval

Abstract

Part 2: INFRASTRUCTURE MODELING AND SIMULATION; International audience; 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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• http://link.springer.com/content/pdf/10.1007/978-3-319-70395-4_7,

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• https://hal.inria.fr/hal-01819139,

https://hal.inria.fr/hal-01819139/document,

https://hal.inria.fr/hal-01819139/file/460140_1_En_7_Chapter.pdf under the license http://www.springer.com/tdm

• https://link.springer.com/chapter/10.1007/978-3-319-70395-4_7,

https://dblp.uni-trier.de/db/conf/ifip11-10/iccip2017.html#GalbuseraG17,

https://rd.springer.com/chapter/10.1007/978-3-319-70395-4_7,

https://academic.microsoft.com/#/detail/2768522101 under the license http://creativecommons.org/licenses/by/