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Semantically Enhanced Interoperability in Health Emergency Management

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Book cover On the Move to Meaningful Internet Systems. OTM 2018 Conferences (OTM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11230))

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Abstract

Health Emergency Management is a domain which involves a number of stakeholders operating under different protocols, rules, and languages forming a complex world where incident coordination and decision making is a vital requirement. The data that is used during a health emergency include heterogeneous datasets from various data sources. Thus, data harmonization techniques must be adopted against a common reference schema to assure data consistency. Moreover, the need for interoperability between the involved agencies at national and international level is strong. Currently, there is no reference schema which captures all the dimensions of the Health Emergency Management domain and also aligned with the common incident management interoperability protocols. The HERMES Semantic Model consists of an ontological representation of the conceptual model of the Health Emergency Management domain and aims at: (a) providing an integral conceptual model of Health Emergency Management covering all the involved knowledge domains and, (b) addressing the aforementioned interoperability and integration issues. HERMES reuses existing ontologies and offers a new upper model, a set of vertical models and a data facet. The model is used by a specific mechanism which imports data from the various resources in order to provide an integrated and homogenized view of the data. The final harmonized data may be used by various incident management platforms to assist in decision making during an emergency. Finally, the model and the data harmonization procedure are evaluated using open data from open data repositories. The results of the evaluation verify the correctness of the approach.

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References

  1. Antoniou, G., Van Harmelen, F.: A Semantic Web Primer. MIT press, Cambridge (2004)

    Google Scholar 

  2. Bertelsen, O.W., Bodker, S.: Activity theory. In: Caroll, J.M. (ed.) HCI Models Theories, and Frameworks: Toward A Multidisciplinary Science, pp. 291–324. Morgan Kaufmann, San Francisco (2003)

    Chapter  Google Scholar 

  3. Bontas, E.P., Mochol, M., Tolksdorf, R.: Case studies on ontology reuse. In: Proceedings of the IKNOW 2005, International Conference on Knowledge Management, vol. 74, p. 345 (2005)

    Google Scholar 

  4. Chen, R., Sharman, R., Chakravarti, N., Rao, H.R., Upadhyaya, S.J.: Emergency response information system interoperability: development of chemical incident response data model. J. Assoc. Inf. Syst. 9(3) (2008)

    Article  Google Scholar 

  5. Corcho, O., Fernández-López, M., Gómez-Pérez, A., López-Cima, A.: Building legal ontologies with METHONTOLOGY and WebODE. In: Benjamins, V.R., Casanovas, P., Breuker, J., Gangemi, A. (eds.) Law and the Semantic Web. LNCS (LNAI), vol. 3369, pp. 142–157. Springer, Heidelberg (2005). https://doi.org/10.1007/978-3-540-32253-5_9

    Chapter  Google Scholar 

  6. Degbelo, A.: A snapshot of ontology evaluation criteria and strategies. In: Proceedings of Semantics 2017, Amsterdam, Netherlands, September 2017

    Google Scholar 

  7. Declaring RDF Views of SQL Data. https://www.w3.org/2007/03/RdfRDB/papers/erling.html. Accessed 05 July 2018

  8. D2RQ: Accessing Relational Databases as Virtual RDF Graphs. http://d2rq.org/. Accessed 05 July 2018

  9. EM-DAT: The International Disaster Database. https://www.emdat.be/index.php. Accessed 01 July 2018

  10. Fan, Z., Zlatanova, S.: Exploring ontology potential in emergency management. In: Proceedings of the Gi4DM Conference—Geomatics for Disaster Management, Torino, Italy (2010)

    Google Scholar 

  11. Fernández-López, M., Gómez-Pérez, A., Juristo, N.: Methontology: from ontological art towards ontological engineering. In: Proceedings of the Symposium on Ontological Engineering of AAAI (1997)

    Google Scholar 

  12. FOAF Vocabulary Specification 0.99. http://xmlns.com/foaf/spec/. Accessed 14 July 2018

  13. Gençtürk, M., Evci, E., Guney, A., Kabak, Y., Erturkmen, G.B.L.: Achieving semantic interoperability in emergency management domain. In: Hřebíček, J., Denzer, R., Schimak, G., Pitner, T. (eds.) ISESS 2017. IAICT, vol. 507, pp. 279–289. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-89935-0_23

    Chapter  Google Scholar 

  14. Haghighi, P.D., Burstein, F., Zaslavsky, A., Arbon, P.: Development and evaluation of ontology for intelligent decision support in medical emergency management for mass gatherings. Dec. Supp. Syst. 54, 1192–1204 (2013)

    Article  Google Scholar 

  15. Health Care and Life Science (HCLS) Linked Data Guide. https://www.w3.org/2001/sw/hcls/notes/hcls-rdf-guide/. Accessed 05 July 2018

  16. Hoehndorf, R., Dumontier, M., Gkoutos, G.: Evaluation of research in biomedical ontologies. Brief. Bioinform. 14, 696–712 (2013)

    Article  Google Scholar 

  17. ICD-10 classification browser, Version: 2016. http://apps.who.int/classifications/icd10/browse/2016/en

  18. ICF classification browser. http://apps.who.int/classifications/icfbrowser/

  19. ICECI. http://www.who.int/classifications/icd/adaptations/iceci/en/

  20. ICHI classification browser. https://mitel.dimi.uniud.it/ichi/

  21. Linked data – connect distributed data across the web. http://linkeddata.org/

  22. Liu, S., Shaw, D., Brewster, C.: Ontologies for crisis management: a review of state of the art in ontology design and usability, networks. In: Proceedings of the Information Systems for Crisis Response and Management conference, ISCRAM 2013 (2013)

    Google Scholar 

  23. OASIS Emergency Management TC. https://www.oasis-open.org/committees/tc_home.php?wg_abbrev=emergency. Accessed 26 June 2018

  24. OGC Sensor Web Enablement (SWE). http://www.opengeospatial.org/ogc/markets-technologies/swe. Accessed 12 July 2018

  25. Ontology of Transportation Networks. https://pdfs.semanticscholar.org/889d/4f862729d17b1d89f6eb92d67828143de924.pdf

  26. Ontology: DOLCE + DnS Ultralite. http://ontologydesignpatterns.org/wiki/Ontology:DOLCE+DnS_Ultralite. Accessed 01 June 2018

  27. Ontop. http://ontop.inf.unibz.it/. Accessed 05 July 2018

  28. OWL 2. https://www.w3.org/TR/owl2-overview/. Accessed 27 June 2018

  29. Persona Data Model 2.0. https://wiki.eclipse.org/Persona_Data_Model_2.0. Accessed 28 August 2018

  30. Poveda-Villalón, M., Gómez-Pérez, A., Suárez-Figueroa, M.C.: Oops!(ontology pitfall scanner!): an on-line tool for ontology evaluation. Int. J. Semant. Web Inf. Syst. (IJSWIS) 10(2), 7–34 (2014)

    Article  Google Scholar 

  31. Protégé. https://protege.stanford.edu/. Accessed 01 June 2018

  32. PROV-O. https://www.w3.org/TR/prov-o/. Accessed 27 June 2018

  33. R2RML: RDB to RDF Mapping Language. https://www.w3.org/TR/r2rml/. Accessed 05 July 2018

  34. Rauner, M.S., et al.: An advanced decision support system for European disaster management: the feature of the skills taxonomy. Cent. Eur. J. Oper. Res. 26(2), 485–530 (2018)

    Article  MathSciNet  Google Scholar 

  35. SIOC Core Ontology Specification. http://rdfs.org/sioc/spec/. Accessed 28 June 2018

  36. Sheth, A.: Changing focus on interoperability in information systems: from system, syntax, structure to semantics. In: Goodchild, M., Egenhofer, M., Fegeas, R., Kottman, C. (eds.) Interoperating Geographic Information Systems. Kluwer (1998)

    Google Scholar 

  37. SKOS Simple Knowledge Organization System. https://www.w3.org/TR/2009/REC-skos-reference-20090818/. Accessed 04 July 2018

  38. UNECE: Trade facilitation implementation guide, data harmonization. http://tfig.unece.org/contents/data-harmonization.htm

  39. Wache, H., et al.: Ontology-based integration of information a survey of existing approaches. CiteSeerX:10.1.1.142.4390 (2001)

    Google Scholar 

  40. WAI Vocabulary Specification. http://vocab.ctic.es/wai/wai.html. Accessed 28 August 2018

  41. WeatherOntology. https://www.auto.tuwien.ac.at/downloads/thinkhome/ontology/WeatherOntology.owl. Accessed 04 July 2018

  42. Web Ontology Language (OWL). https://www.w3.org/OWL/. Accessed 11 July 2018

  43. World Health Organization. http://www.who.int/about-us. Accessed 04 July 2018

  44. World Health Organization Classifications. http://www.who.int/classifications/en/. Accessed 04 July 2018

  45. W3C Semantic Web Interest Group: Basic Geo (WGS84 lat/long) Vocabulary. https://www.w3.org/2003/01/geo/. Accessed 04 July 2018

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Authors and Affiliations

  1. UBITECH Ltd., Thessalias 8, 15231, Chalandri, Athens, Greece

    Danai Vergeti, Dimitrios Ntalaperas & Dimitrios Alexandrou

Authors
  1. Danai Vergeti
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  2. Dimitrios Ntalaperas
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  3. Dimitrios Alexandrou
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Corresponding author

Correspondence to Danai Vergeti .

Editor information

Editors and Affiliations

  1. CNRS, University of Lorraine, Vandoeuvre-les-Nancy, France

    Hervé Panetto

  2. Trinity College Dublin, Dublin, Ireland

    Christophe Debruyne

  3. Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg

    Henderik A. Proper

  4. Università degli Studi di Milano, Crema, Italy

    Claudio Agostino Ardagna

  5. SINTEF and University of Oslo, Oslo, Norway

    Dumitru Roman

  6. TU Graz, Graz, Austria

    Robert Meersman

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Vergeti, D., Ntalaperas, D., Alexandrou, D. (2018). Semantically Enhanced Interoperability in Health Emergency Management. In: Panetto, H., Debruyne, C., Proper, H., Ardagna, C., Roman, D., Meersman, R. (eds) On the Move to Meaningful Internet Systems. OTM 2018 Conferences. OTM 2018. Lecture Notes in Computer Science(), vol 11230. Springer, Cham. https://doi.org/10.1007/978-3-030-02671-4_23

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  • DOI: https://doi.org/10.1007/978-3-030-02671-4_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02670-7

  • Online ISBN: 978-3-030-02671-4

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