الفهرس 
MotivationOnly 14 pages are availabe for public view
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Abstract
Big Data Integration (BDI) is the key to unlock medical big data benefits. Because BDI
increases data collaboration that helps big data analytics to be performed more accurately
and thus extract the most effective medical meaningful insights. These meaningful
insights help medical decision makers to best driving their works of the diagnosis and the
treatment of diseases. But unfortunately, BDI still suffers from problems and challenges.
The thesis focuses only on addressing three problems. First, the integration of medical
text data represents a challenge for BDI due to its large volume, uncategorized form, and
unstructured. Second, the high degree of semantic data heterogeneity problem prevents
the integration of domain relevant data. Third, the increasing in the number of sources
that needs to be integrated.