Abstract
Data integration has become an essential issue in the development of information systems, especially in the biomedical and healthcare domain. Thereby it is required to have methods and tools available to support this effort in a systematic and structured manner, i.e. to have a conceptual, model based approach. We present such an approach; it is constituted by two components which are coping with the two main challenges of data integration: Data Logistics copes with the technical task of data transmission and data exchange; an ontology-based transformation copes with the semantic issues of data integration by dealing with the heterogeneity of formats, terminologies and ontologies. This paper shows how the synergetic combination of these concepts provides an adequate solution to data integration in healthcare applications.
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References
Altintas, I., Berkley, C., Jaeger, E., Jones, M., Ludaescher, B., Mock, S.: Kepler: Towards a Grid-Enabled system for scientific workflows. In: Workflow in Grid Systems Workshop in GGF10, Berlin (March 2004)
Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P.: The Description Logic Handbook: Theory, Implementation and Applications. Cambridge University Press, Cambridge (2003)
Curé, O.: XIMSA: eXtended Interactive Multimedia System for Auto-medication. In: Proceedings of CBMS 2004, Bethesda, USA, pp. 570–575 (2004)
Curé, O.: Semi-automatic data Migration in a Self-medication Knowledge-Based System. In: Proceedings of Wissensmanagement 2005, Kaiserslautern, Germany, pp. 373–383 (2005)
Curé, O., Squelbut, R.: Data Integration Targeting a Drug Related Knowledge Base. In: Proceedings of EDBT Workshops, Munich, Germany, pp. 411–422 (2006)
Giunchiglia, F., Shvaiko, P., Yatskevich, M.: S-match: an algorithm and an implementation of semantic matching. In: Bussler, C.J., Davies, J., Fensel, D., Studer, R. (eds.) ESWS 2004. LNCS, vol. 3053, pp. 61–75. Springer, Heidelberg (2004)
Jablonski, S., Bussler, C.: Workflow management - modeling concepts, architecture and implementation. International Thomson Computer Press, London (1996)
Jablonski, S., Lay, R., Meiler, C., Müller, S., Hümmer, W.: Data Logistics as a Means of Integration in Healthcare Applications. In: Preneel, B., Tavares, S. (eds.) SAC 2005. LNCS, vol. 3897, pp. 236–241. Springer, Heidelberg (2006)
Jablonski, S.: Process Based Data Logistics: Data Integration for Healthcare Applications. In: Proceedings of European Conference on eHealth 2006, GI-edn. (2006)
Kotis, K., Vouros, G., Stergiou, K.: Towards automatic merging of domain ontologies. The HCONE-merge approach Journal of Web Semantics 4(1), 60–79 (2006)
Oinn, T., et al.: Taverna: Lessons in creating a workflow environment for the life sciences. Concurrency Computation: Pract. Exper., 1–7 (2000)
Rahm, E., Bernstein, P.: A survey of approaches to automatic schema matching. VLDB Journal 10(4), 334–350 (2001)
Shvaiko, P., Euzenat, J.: A Survey of Schema-based Matching Approaches. Journal on Data Semantics IV, 146–171 (2005)
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Curé, O., Jablonski, S. (2007). Ontology-Based Data Integration in Data Logistics Workflows. In: Hainaut, JL., et al. Advances in Conceptual Modeling – Foundations and Applications. ER 2007. Lecture Notes in Computer Science, vol 4802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76292-8_5
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DOI: https://doi.org/10.1007/978-3-540-76292-8_5
Publisher Name: Springer, Berlin, Heidelberg
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