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Merging Open Data Sources to Plan Learning Activities for Online Students

机译:合并开放数据来源以计划在线学生的学习活动

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Currently there are numerous repositories of linked data and open data that store information from very varied domains. These repositories can be consulted to retrieve the data they store using query languages. Normally, the result of the queries generates a file containing the requested data represented in some information representation format. This article presents a process model to create learning resources in a simple and fast way using these repositories can be used As example of this model, it has been created a web application in Python that suggests paintings and other artistic objects from the museums of the city of Madrid and allows to build, in a semi-automatic way, a set of proposals for learning activities oriented to their students. In order to it, the application exploits several repositories of open data portals have been exploited: Wikidata and the Madrid City Council open data portal.
机译:目前,有许多链接数据的存储库和从非常多变的域存储信息的打开数据。可以咨询这些存储库以检索使用查询语言存储的数据。通常,查询的结果生成包含在某些信息表示格式中表示的所请求数据的文件。本文以一种简单快捷方式使用这些存储库创建学习资源的过程模型可以用作此模型的示例,它已在Python中创建了一个Web应用程序,这些应用程序建议来自城市博物馆的绘画和其他艺术物品马德里并允许以半自动方式建立一套学习活动的一系列建议。为了它,应用程序利用已被剥削的开放数据门户网站的若干存储库:Wikidata和Madrid City Autge开放数据门户网站。

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