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Integration of humain intelligence in transformation process of the pedagogical scenario: Approach based on the crowdsourcing

机译:教学场景转型过程中的人工智能整合:基于众包的方法

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With the advent of the neologism called "crowdsourcing", the problem of the evaluation of existing solutions on ontology alignment arose. The use of ontologies and their alignment to found the MDE (Model Driven engineering) model implanted in the transformation process has become a necessity, especially for better semantic interoperability between these models. The state of the art clearly shows that the contribution of the ODE (Ontology Driven engineering) principles, AO (Alignment of Ontolgies) and crowdsourcing in a learning scenarization context is an interesting approach. In this paper, we propose a transformation process to transpose a business scenario to a computable scenario exploiting various tools (Protege2000, Plugin uCamp, Crowdflower and GWAP).
机译:随着被称为“众包”的新词的出现,出现了对现有解决方案进行本体对准的评估问题。使用本体及其对齐方式来找到在转换过程中植入的MDE(模型驱动工程)模型已成为一种必要,特别是对于这些模型之间更好的语义互操作性而言。现有技术清楚地表明,在学习场景化上下文中,ODE(本体驱动工程)原理,AO(本体对齐)和众包的贡献是一种有趣的方法。在本文中,我们提出了一个转换过程,以利用各种工具(Protege2000,Plugin uCamp,Crowdflower和GWAP)将业务场景转换为可计算场景。

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