合并开放数据源以计划在线学生的学习活动

Antonio Sarasa Cabezuelo, J. L. Fernández-Vindel
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引用次数: 3

摘要

目前有许多存储链接数据和开放数据的存储库,它们存储来自非常不同领域的信息。可以参考这些存储库,以使用查询语言检索它们存储的数据。通常,查询的结果生成一个文件,其中包含以某种信息表示格式表示的请求数据。本文提出了一个过程模型,使用这些存储库以一种简单而快速的方式创建学习资源。作为该模型的示例,它已经用Python创建了一个web应用程序,该应用程序可以从马德里市的博物馆中推荐绘画和其他艺术品,并允许以半自动的方式构建一组面向学生的学习活动建议。为了实现这一点,该应用程序利用了几个开放数据门户的存储库:Wikidata和马德里市议会开放数据门户。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Merging Open Data Sources to Plan Learning Activities for Online Students
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.
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