Exploratory Research in Knowledge Assistance Learning with Linked Data: A Case on The Education With Historic Military Combat

Tai-Ying Wu, Wei-Xiang Liao, Liang-Chu Chen
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Abstract

The Semantic Web is applied to help computers to recognize the contents of documents and improve the efficiency of internet search. In general, the resource description framework (RDF) model is used in the semantic web to describe the links among data to data (or thing to thing), and these are called Linked Data. The Linked Data technique has been applied to many fields such as finance, business, government and education. Additionally, some famous search engines, like Google and Yahoo, also utilize Linked Data technique into their retrieval system. As the Linked Open Data (LOD) project aimed to convert the open data structure into the Linked Data structure for connection and use of different data sources. This study focused on the Linked Data application for expansion of education knowledge based on the related content from Wikipedia. A retrieval system was established to integrate education knowledge and examine the connection between linked knowledge of subject events and other resource objects based on arious disciplines. Furthermore, we discussed the possible development of Linked Data technology in the education in conjunction with the government's open data policy.
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关联数据知识辅助学习的探索性研究——以历史军事作战教育为例
语义网被用于帮助计算机识别文档的内容,提高网络搜索的效率。通常,在语义web中使用资源描述框架(RDF)模型来描述数据到数据(或物到物)之间的链接,这些链接称为关联数据。关联数据技术已被应用于金融、商业、政府和教育等诸多领域。此外,一些著名的搜索引擎,如b谷歌和雅虎,也利用关联数据技术到他们的检索系统。链接开放数据(LOD)项目旨在将开放数据结构转换为链接数据结构,以便连接和使用不同的数据源。本研究的重点是基于维基百科相关内容的关联数据应用于教育知识的扩展。建立了一个检索系统,整合教育知识,考察学科事件相关知识与其他学科资源对象之间的联系。此外,我们还讨论了结合政府的开放数据政策,在教育领域应用关联数据技术的可能性。
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