Ontology-Based for Requirement Analyze and Design-Knowledge Network Learning Diagnosis Analysis System

At the end of the 20^th century and the beginning of the 21^th, ontologies have emerged as an important and increasing interest research area in a variety of academic setting. Strides in information technology and improvements in networking technology have driven these paces for rapid growth in new applications of web learning. The main purpose of this study was twofold. First, it adopted the theory of task ontology to build up a three- level mediating representation for a task analysis and the task of "knowledge network learning diagnosis analysis system (KNLDAS)" will serve as an example. Second, from modeling standpoint, a methodology, called TTIPP (task analysis, task ontology, IDEFO model, Petri net model, and PNML), was provided to systemically analyze the process of the task and subtask, in terms of the inputs, outputs, mechanisms, controls, using IDEFO and Petri net to further transfer context for computer to generate code.