基于蒙古语课程领域语义Web的推理与检索方法的研究

由于蒙古语网络教学相对落后,蒙古语教学资源的重用和利用率较低,并且基于关键字的教学资源检索缺少在语义层面上的处理和表示,导致检索结果不全面和不准确。针对这种情况,提出基于蒙古语课程领域语义Web的检索方法。通过建立教学领域"人工智能(■■)"课程蒙文本体,利用关系数据库MySQL、语义相似度以及推理规则等工具与方法,实现构建基于蒙古语教学领域查询与检索原型系统。实验结果表明,该方法能有效地提高信息检索的查全率和查准率,并且建立了蒙古语教学资源可以共享和互操作的知识层次结构。

A semantic web based reasoning and retrieval method in mongolian curriculum

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.