文章基本信息

标题：Enabling smart learning systems within smart cities using open data
本地全文：下载
作者：Antonella Carbonaro
期刊名称：Je-LKS
印刷版ISSN：1826-6223
电子版ISSN：1971-8829
出版年度：2020
卷号：16
期号：1
页码：72-77
DOI：10.20368/1971-8829/1135239
出版社：Casalini Libri
摘要：Deploying ad-hoc learning environments to use and represent data from multiple sources and networks and to dynamically respond to user demands could be very expensive and ineffective in the long run. Moreover, most of the available data is wasted without extracting potentially useful information and knowledge because of the lack of established mechanisms and standards. It is preferable to focus on data availability to choose and develop interoperability strategies suitable for smart learning systems based on open standards and allowing seamless integration of third-party data and custom applications. This paper highlights the opportunity to take advantage of emerging technologies, like the linked open data platforms and automatic reasoning to effectively handle the vast amount of information and to use data linked queries in the domain of cognitive smart learning systems.
关键词：Smart Learning Systems;Linked Open Data;Cognitive Computing in Education