Constructing Higher Eduation Knowledge Graph For MOOC Usuing Dataing Mining Methods

Massive Open Online Courses(MOOCs) have become a way of online study used by millions of people across the world.More and more students learn the courses they really need through the MOOC website.Our study discussed how to construct the knowledge graph of the college education through data mining and machine learning methods based on the information of the MOOC websites. We hope the knowledge graph can provide each student more targeted and personalized learning service.Firstly,we review and summarize the basic techniques in the construction of knowledge graph,including the application of knowledge graph,the common techniques of entity recognition and relation extraction.Secondly,inspired by the KDD Cup 2015 tournament,this paper proposed to construct higher education knowledge graph for courses in MOOC using data mining methods.The construction of knowledge graph is divided into four modules including data collection,entity recognition and realtion extraction from free text and the application of knowledge graph.We have adopted the approach based on rules and the dataing mining methods for different entities in the entity recognition module.For example,we consider the extraction problem of the course group as a clustering problem sot that we can use kmeans model to get the course group from the free text.For relation extraction part,we define the order relationship and the contrast relationship between the two different courses.In this part,we also use the approach combinating the machinglearning methods and rules.We have visualized the knowledge graph in the application of the knowledge graph including the wheel view. In addition,to construct the personalized learning program,firstly we get the priori data set using methods based on rules,then we consided this problem as a multi classification problem. We use KNN model to divide the courses into four stages and we can get the stage of each course.If we know the profession of the student, we can provide a training program for this student.