For a long time, expert systems involved in the core technology - computer technology can not effectively solve the inference reasoning problems. Make the expert system has been the lack of intelligent reasoning and effective solution. And in the sharing and reuse is very difficult. To this end, propose a semantic-based solutions. Firstly, OWL-based development platform protégé3.4.4 build the Olympic OWL-DL ontology, the RACER description logic-based reasoning to achieve "native ontology" of evolution, to solve the ontology of the "information island" problem. Then the feature extraction for the Olympic body, build SWRL inference rules, and on this basis, the use of Jess inference engine to achieve the Olympic reasoning application model, so that the reasoning is more intelligent. At last, argue the feasibility of this application model from the angle of technology and application.%长期以来,专家系统中涉及的核心技术-计算机推理技术不能有效地解决推理问题,使得专家系统的智能化推理问题一直得不到有效的解决.并且在共享和复用方面也很困难.为此,提出一种基于语义的解决方案.首先利用OWL开发平台protége3.4.4构建出基于OWL-DL的Olympic本体,采用基于描述逻辑的RACER推理实现"原生本体"的进化,解决本体中的"信息孤岛"问题.然后针对奥运本体的特征提取,构建SWRL推理规则,并在此基础上运用Jess推理引擎实现了奥运项目推理的应用模型,使推理更加智能.从而在技术与应用的角度论证了推理应用模型的可行性.
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