Abstract
Medical data is stored across institutions in heterogeneous systems with differences in both, data structures and their semantics. Often, additional information from other data sources is required, e.g. for decision making. The extension of all the data combined from different sources represents the global data or global knowledge. Thus, granting participants access to this global knowledge is crucial for a successful clinical treatment. Accessing this information through the local system is called global-as-local-view-extension. This paper presents an approach for realizing this by using the entity-attribute-value model in accordance with a special schema mapping technique as well as inverses of schema mappings between local and global repositories.
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Straube, G., Bruder, I., Löper, D., Heuer, A. (2014). Data Integration in a Clinical Environment Using the Global-as-Local-View-Extension Technique. In: Zhang, Y., Yao, G., He, J., Wang, L., Smalheiser, N.R., Yin, X. (eds) Health Information Science. HIS 2014. Lecture Notes in Computer Science, vol 8423. Springer, Cham. https://doi.org/10.1007/978-3-319-06269-3_16
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DOI: https://doi.org/10.1007/978-3-319-06269-3_16
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