Applied Research Of Knowledge Representation In The Domain Of Instruction

In the era of knowledge economy, along with the explosive growth of knowledge, knowledge engineering has a fast development. As the basic constituent part of knowledge engineering, knowledge representation receives recognition day by day. In theory, the systematism of the discipline theory in the area of knowledge engineering is propitious to the growth increasingly of the theory about knowledge representation. In practice, knowledge representation has a close contact with the design of expert system, which has two core constituents, repository and inference machine. The representation method, especially semantic networks, can make for the contact with some relevant knowledge units. And the learner can study it systemically. Most of the curriculum learning platform designed at present used multidimensional vector set, and the inference used accurate or fuzzy match. Hence the learner could not understand the contact with units. Furthermore, when the dimension is biggish, it will be harder to search and query the repository. To these questions, researching the application of knowledge representation in the domain of discipline has important realistic meanings.This research is about the curriculum learning platform based on knowledge representation. It aims at designing repository by various representation methods. According to the character of knowledge itself, it chooses one or more appropriate method. The learner can understand the contact with some relevant knowledge units clearly. When we research and query repository, it can find out the knowledge unit rapidly. And then, it designs a model of curriculum learning platform based on knowledge representation. According to the classification standard about knowledge of OECD, it uses production rule, framework, semantic network and other methods to represent the knowledge of know-what, know-why, know-how, stored in the sub-repository. In order to build a bridge connected between the learning platform and repository, it uses a midware, knowledge processor. It can solve problems commendably, which came forth before.