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Merging Open Data Sources to Plan Learning Activities for Online Students

机译:合并开放数据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:当前,存在许多链接数据和开放数据的存储库,它们存储来自非常不同的域的信息。可以查询这些存储库以使用查询语言检索它们存储的数据。通常,查询结果会生成一个文件,其中包含以某种信息表示格式表示的请求数据。本文介绍了一个过程模型,该过程模型可使用这些存储库以简单快速的方式创建学习资源。作为该模型的示例,它已使用Python创建了一个网络应用程序,用于建议城市博物馆的绘画和其他艺术品并允许以半自动方式为学生制定一系列学习活动的建议。为此,该应用程序利用了开放数据门户的几个存储库:Wikidata和马德里市议会开放数据门户。

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