Semi automated transformation to owl formatted files as an approach to data integration: A feasibility study using environmental, Disease register and primary care clinical data
Liang SF., Taweel A., Miles S., Kovalchuk Y., Spiridou A., Barratt B., Hoang U., Crichton S., Delaney BC., Wolfe C.
Conclusions: Our approach generated a resultant set of transformed OWL formatted files, which are in a query-able format to run individual queries, or can be easily converted into other more suitable formats for further analysis, and the transformation was faithful with no loss or anomalies. Our results have shown that the proposed method provides a promising general approach to address data heterogeneity.