Successes in these studies included women with: 1  two totally blocked fallopian tubes, 2  one tube removed and the other blocked (decreasing the chance for success), 3  hydrosalpinx (tube blocked and filled with fluid), and.  mid-tube and distal blockage (challenging areas to treat surgically).
Data Rationalization is a powerful means to unlock and leverage semantics hidden in models, and to be able to find, identify, and leverage the data we need. Tying a formal ontology (e.g. stored in OWL) to model objects can help bridge the semantic divide between unstructured and structured data.
Information Supply Chain). With Data Rationalization, weâre not trying to find where an actual piece of data came from (i.e. source to target), but what higher order model objects the data was conceived from or help to explain it, or which downstream objects implement the higher order model objects (see Figure 1 below).