An Approach to Mathematics Knowledge Retrieval Based on Semantic Understanding for Computer Aided Learning Software

As computer aided learning (CAL) has become more and more popular in recent years, it is essential to provide a knowledge retrieval tool in any CAL environment. However, most CAL softwares available at present can only support searching with keywords. In this paper, we propose a technology that supports knowledge retrieval in semantic level and hence can be used for designing mathematics educational software with this feature. Our method is based on the method of machine understanding to natural language and geometry image.