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Enabling Semantic Interoperability for Risk and Vulnerability Analysis of Public Buildings

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Book cover Enterprise Interoperability VIII

Part of the book series: Proceedings of the I-ESA Conferences ((IESACONF,volume 9))

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Abstract

The risk and vulnerability analysis of buildings identifies buildings with high exposure to natural hazards. It is crucial to prevent or reduce damage and economic loss for the construction and property management industry. The government, as well as private landowners, benefit from risk and vulnerability assessment of their real estate portfolio. In this paper, we propose a semantic-enhanced method to simplify the risk and vulnerability assessment process and improve interoperability of real estate and natural hazards data. The method relies on the publication and integration of data from various sources as linked data. Visualization of the integrated data is also presented, together with application scenarios.

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Notes

  1. 1.

    https://www.merriam-webster.com/dictionary/building.

  2. 2.

    https://earthobservatory.nasa.gov/Features/RisingCost/rising_cost5.php.

  3. 3.

    https://earthobservatory.nasa.gov/Features/RisingCost/rising_cost3.php.

  4. 4.

    https://developers.google.com/maps/documentation/geocoding/intro.

  5. 5.

    https://en.wikipedia.org/wiki/Geographic_information_system.

  6. 6.

    https://www.w3.org/standards/semanticweb/data.

  7. 7.

    http://www.statsbygg.no/Om-Statsbygg/About-Statsbygg/.

  8. 8.

    http://www.naturskade.no/statistikk/.

  9. 9.

    http://setebos.svt.ntnu.no/viewexposed/learn_about_vul/.

  10. 10.

    https://en.wikipedia.org/wiki/Shapefile.

  11. 11.

    https://www.nve.no/english/.

  12. 12.

    http://nedlasting.nve.no/gis/.

  13. 13.

    http://gis3.nve.no/metadata/produktark/Produktark_FlomAktsomhet.pdf.

  14. 14.

    http://www.vindteknikk.com/services/analyses/wind-engineering.

  15. 15.

    http://www.opengeospatial.org/standards/geosparql.

  16. 16.

    http://vocabs.datagraft.net/.

  17. 17.

    http://www.opengis.net/def/function/geosparql/.

References

  1. Field, C. B. (Ed.). (2012). Managing the risks of extreme events and disasters to advance climate change adaptation: Special report of the intergovernmental panel on climate change. Cambridge University Press.

    Google Scholar 

  2. Opach, T., & Rød, J. K. (2013). Cartographic visualization of vulnerability to natural hazards. Cartographica: The International Journal for Geographic Information and Geovisualization, 48(2), 113–125.

    Google Scholar 

  3. Vilches-Blázquez, L. M., Villazón-Terrazas, B., Corcho, O., & Gómez-Pérez, A. (2014). Integrating geographical information in the Linked Digital Earth. International Journal of Digital Earth, 7(7), 554–575.

    Article  Google Scholar 

  4. Saavedra, J., Vilches-Blázquez, L. M., & Boada, A. (2014). Cadastral data integration through Linked Data.

    Google Scholar 

  5. Shi, L., Sukhobok, D., Nikolov, N., & Roman, D. (2017, September). Norwegian state of estate report as linked open data. In OTM confederated international conferences “On the move to meaningful internet systems” (pp. 445–462). Cham: Springer.

    Google Scholar 

  6. Peereboom, I. O. (2011). Identification of areas exposed to flooding in Norway at a national level.

    Google Scholar 

  7. Peereboom, I. O. (2013). Flood mapping for PFRA and NVE’s spatial planning guidelines. In Nve (Ed.). NVE.

    Google Scholar 

  8. Rød, J. K., Opach, T., & Neset, T. S. (2015). Three core activities toward a relevant integrated vulnerability assessment: Validate, visualize, and negotiate. Journal of Risk Research, 18(7), 877–895.

    Article  Google Scholar 

  9. Shi, L., Nikolov, N., Sukhobok, D., Tarasova, T., & Roman, D. (2017). The proDataMarket ontology for publishing and integrating cross-domain real property data. Journal “Territorio Italia. Land Administration, Cadastre and Real Estate”, 2, 1. https://doi.org/10.14609/Ti_2_17_1e.

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Acknowledgements

The work has been funded by the European Commission under the projects proDataMarket (Grant number: 644497) and euBusinessGraph (Grant number: 732003). The authors would like to thank the proDataMarket consortium for additional contributions.

Author information

Authors and Affiliations

  1. Statsbygg, Pb. 8106 Dep, 0032, Oslo, Norway

    Ling Shi & Bjørg E. Pettersen

  2. SINTEF, Pb. 124 Blindern, 0314, Oslo, Norway

    Dumitru Roman

Authors
  1. Ling Shi
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  2. Bjørg E. Pettersen
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  3. Dumitru Roman
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Corresponding author

Correspondence to Ling Shi .

Editor information

Editors and Affiliations

  1. Future Manufacturing Applied Research Centre, Coventry University, Coventry, UK

    Keith Popplewell

  2. BIBA, Universität Bremen, Bremen, Germany

    Klaus-Dieter Thoben

  3. Business Process and Factory Management, Fraunhofer IPK, Berlin, Germany

    Thomas Knothe

  4. Higher Polytechnic School of Alcoy, Polytechnic University of Valencia, Alcoy, Alicante, Spain

    Raúl Poler

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Shi, L., Pettersen, B.E., Roman, D. (2019). Enabling Semantic Interoperability for Risk and Vulnerability Analysis of Public Buildings. In: Popplewell, K., Thoben, KD., Knothe, T., Poler, R. (eds) Enterprise Interoperability VIII. Proceedings of the I-ESA Conferences, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-030-13693-2_12

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  • DOI: https://doi.org/10.1007/978-3-030-13693-2_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-13692-5

  • Online ISBN: 978-3-030-13693-2

  • eBook Packages: EngineeringEngineering (R0)

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