|Title:||HypothesisCreator: Concepts for Accelerating the Computational Knowledge Discovery Process|
|Authors:||Hideo Bannai, Yoshinori Tamada, Osamu Maruyama, and Satoru Miyano|
|Series:||Linköping Electronic Articles
in Computer and Information Science
|Issue:||Vol. 6 (2001), No. 019|
|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.
| Original publication