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Comparison of knowledge during the assembly process of learning objects

机译：学习对象组装过程中的知识比较

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摘要

This paper describes the conceptual framework OntoGlue for the assembly of learning objects (LOs). To permit a coherent assembling process from the point of view of requirements and competencies, OntoGlue enhances the definition of LOs by including associated knowledge (i.e. requirements and competencies) in their conceptual data schema. This associated knowledge is defined in terms of classes of educational ontologies (used as taxonomies), possibly related by mappings. There are several advantages associated with the OntoGlue approach. Firstly, it provides an enhanced description of the LOs, which permits their search and reuse by considering requirements and competencies. Secondly, during the assembly process of two LOs, OntoGlue checks that the competencies of the first LO cover the requirements of the second LO, guaranteeing a coherent assembling process from the requirements and competencies' point of view. Thirdly, OntoGlue automatically calculates the meta-data of the resulting assembled LO. Finally, the definition of the associated knowledge in terms of classes of ontologies, possibly related by mappings, permits an advanced comparison of requirements and competencies during assembly and search processes.
机译：本文介绍了用于组装学习对象（LO）的概念框架OntoGlue。为了从需求和能力的角度进行一致的组装过程，OntoGlue通过将相关知识（即需求和能力）包括在概念数据模式中来增强LO的定义。该关联知识是根据教育本体的类别（用作分类法）定义的，可能与映射相关。 OntoGlue方法具有多个优点。首先，它提供了对LO的增强描述，从而可以通过考虑需求和能力来搜索和重用LO。其次，在两个LO的组装过程中，OntoGlue检查第一个LO的能力是否满足第二个LO的要求，从要求和能力的角度保证组装过程的一致性。第三，OntoGlue自动计算生成的组合LO的元数据。最后，根据本体的类别（可能与映射相关）定义相关知识，可以在组装和搜索过程中对需求和能力进行高级比较。

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