The Research On Knowledge Probe And Analysis System Based On Ontology

In the recent years, ACM/ICPC, sponsored by Association for Computer Machinery (ACM), gets popular in colleges generally. This international programming contest is oriented to college students. Many universities and colleges have developed their own Online Judges to train ACMers of their own, However, we find out that these ACM titles are too difficult for new learners who hope a kind of personalized Online Judge which can provide proper titles according to their own levels.Because tranditional Online Judge is not proper for new learners for being lack of personalized functions, the team of author proposes a concept of personalized Online Judge. This system is like intelligent computer assistant system which adds some personalized function modules; one of these is called knowledge probe and analysis system which is the main objective in our article. It can probe and analyze knowledge learned by students then realize the goal of choosing titles personally.The most important module in knowledge probe and analysis system is the student model. This article focuses on three aspects related to student model. First, how do we construct this student model which means to construct student information and knowledge semantic web? Second, how do we fulfill the function of knowledge probe which means to inspect overall knowledge synchronizedly? Third, how do we analyze knowledge which means to choose the most proper title for new learners according to the result of knowledge probe?According to the three questions above, this article gives us the reasonable solutions. For the first question, we make use of OWL language to describe student information and knowledge semantic web to get student information ontology model and knowledge semantic web ontology model. For the second question, this article introduces a method to convert knowledge semantic web to joint tree then put the value of knowledge observation from codes into joint tree to inspect students learning level.For the third question, based on the result of knowledge probe, we make use of ontology mapping to enable machine to choose the most proper titles for students according to the level of every student.Finally, we design a knowledge probe and analysis prototype system and explain how to choose the personalized learning resources according to different student model instance, then compare the personalized Online Judge with knowledge probe and analysis system with tranditonal Online Judge to prove the priority in the area of customerization as well as verify the adaptability and collectness of the proposed theories in this article.