| Abstract: |
We summarize and discuss the work accomplished through the
HypothesisCreator project, an ongoing effort whose aim is to develop
systematic methods to accelerate the computational knowledge discovery process.
A novel approach to describe the knowledge discovery process, focusing
on a generalized form of attribute called view, is presented.
It is observed that the process of knowledge discovery can, in fact, be
modeled as the design, generation, use, and evaluation of views, asserting
that views are the fundamental building blocks in the discovery process.
Also, we note that the trial-and-error cycle inherent in any knowledge
discovery process, can be formulated as the composing and decomposing
of views. To assist this cycle, a programming language called VML (View
Modeling Language) was designed, providing facilities for this purpose.
Following this view oriented perspective, we describe our approach
to the problem of characterizing N-terminal protein sorting signals in
which we have obtained significant results.
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