Abstract
We introduce in this work an approach, which tackles the knowledge integration from distributed biomedical databases. Traditional data evaluation is performed only on local data. From a global context these evaluation results are partial and incomplete. This is due to the fact, that the knowledge residing on other existing databases is not considered. Thus, making the necessity of global knowledge integration inevitable. This is exactly what we propose in this work, by creating a globally integrated knowledge network on top of the existing distributed biomedical databases, i.e. we are not aiming at integrating the whole data, but integrating only the knowledge residing on these databases. To do this, we apply distributed data mining techniques, which make it possible to analyze the distributed data without integrating it into a singe data warehouse.
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Januzaj, E. (2014). Towards the Integration of the Knowledge from Biomedical Databases. In: Bursa, M., Khuri, S., Renda, M.E. (eds) Information Technology in Bio- and Medical Informatics. ITBAM 2014. Lecture Notes in Computer Science, vol 8649. Springer, Cham. https://doi.org/10.1007/978-3-319-10265-8_8
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DOI: https://doi.org/10.1007/978-3-319-10265-8_8
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10264-1
Online ISBN: 978-3-319-10265-8
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