Abstract:

The lagging development of Mongolian network teaching resources results in its low reuse rates and utilization, and keywordbased search of teaching resources lacks processing and presentation on the semantic level, leading to incomplete and inaccurate search results. To solve these problems, we propose a retrieval method of semantic web based  Mongolian curriculum. Through establishing the Mongolian text body of “Artificial Intelligence （）”  course, combined with the relational database MySQL, tools and methods such as semantic similarity and inference rules, we construct a Mongolian teaching query and retrieval prototype. Experimental results show that the proposed method can effectively improve information retrieval recall and precision, and establish a knowledge hierarchy of Mongolian teaching resources which can be shared and interoperated.

Key words: Mongolian;semantic Web;curriculum ontology;reasoning;information retrieval