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RDB2Onto: An approach for creating semantic metadata from relational educational data

机译:RDB2Onto:一种从关系教育数据创建语义元数据的方法

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Current techniques for retrieving content and usage information from educational data are based on keywords which including string combinations. This technique raises the limitation in terms of capturing learning conceptualization associated to the results. Aims to reveal this issue, this paper present an approach of creating semantic metadata from relational educational data into ontology using D2RQ mapping files. The selected relational data converted to the defined metadata template in ontology such as instances or data properties. Thereafter, the learning conceptualization which stored in ontology knowledge-based growth the metadata to retrieve information meaning based and then used for further analysis. The retrieval results are expected to present meaningful information based on users' needs.
机译:从教育数据中检索内容和使用情况信息的当前技术是基于关键字的,该关键字包括字符串组合。该技术在捕获与结果相关的学习概念化方面提出了限制。为了揭示这个问题,本文提出了一种使用D2RQ映射文件从关系教育数据到本体创建语义元数据的方法。所选的关系数据已转换为本体(例如实例或数据属性)中的已定义元数据模板。之后,学习概念化将基于元数据的知识存储在本体中,以获取基于信息含义的信息,然后将其用于进一步的分析。预期检索结果将根据用户需求提供有意义的信息。

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