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EXPLOITING WEB ONTOLOGIES FOR AUTOMATED CRITICAL INFRASTRUCTURE DATA RETRIEVAL

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Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT,volume 512)

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.

Keywords

  • Critical infrastructures
  • web ontologies
  • open data
  • OpenStreetMap

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Galbusera, L., Giannopoulos, G. (2017). EXPLOITING WEB ONTOLOGIES FOR AUTOMATED CRITICAL INFRASTRUCTURE DATA RETRIEVAL. In: Rice, M., Shenoi, S. (eds) Critical Infrastructure Protection XI. ICCIP 2017. IFIP Advances in Information and Communication Technology, vol 512. Springer, Cham. https://doi.org/10.1007/978-3-319-70395-4_7

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  • DOI: https://doi.org/10.1007/978-3-319-70395-4_7

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