| As the online teaching resources increasing rapidly, the retrieved results oftraditional teaching resources retrieval which based on keyword appeared notcomprehensive and not accuracy due to lacking of processing and presentation at thesemantic level, so that it can’t meet the needs of users for network resources retrieval.While the emergence of semantic web technology solved the "information island" for thereason of lacking of semantic information, and developed the new directions thatnetwork information machine can understand and resources can be shared.Mongolian as a national language, its online teaching is relatively backward, soresearching and developing the retrieval technology based on the Mongolian languageteaching is of great significance to the development of national language. With "artificialintelligence" course field as the research of ontology, this paper introduces ontology tothe construction and retrieval of teaching resources, and adding the correspondingsemantic information and semantic association in this course, so that it not only can makedifferent courses in the field of knowledge concept and Make the knowledge structuremore clear and easy to understand, but also can promote knowledge resources sharing onthe curriculum resources which have increased semantic information. And this paper usesMongolian language as a basic research, which not only benefits to the progress ofMongolian language teaching, but also makes Mongolian students acquire professionalknowledge more conveniently and quickly.The backwardness of the Mongolian network teaching resources results in its lowreuse rates and utilization. For this situation, a retrieval method of semantic web based onMongolian curriculum areas was set up. Firstly, the method established the Mongolianontology of course ‘Artificial Intelligence’ in area of teaching, it uses arelationship database MySQL to record ontology information, on the top of that, it usessemantic similarity calculation and reasoning rules established to do the semanticinformation reasoning, in the end, it builds a query and retrieval prototype system basedon the field of Mongolian teaching. Experimental results show that this method caneffectively improve the information retrieval recall and precision rates, and it establishedMongolian teaching resources which can be shared and interoperable knowledgehierarchy. |
