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Knowledge lifecycle and smart cities learning position paper for DUBAI 2020: Smart city learning

机译:迪拜2020年知识生命周期和智慧城市学习立场文件:智慧城市学习

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This paper is mainly concerned with the strong relation between knowledge Society and Smart Cities. KS allows SC to deploy and materialize all its potentialities and to take advantage of all its resources for the benefit of citizens; adversely, SC offers live, advanced, first-quality knowledge resources, whilst KS ensures optimal, also unexpected, semantic retrieval and connection of existing resources. In this context, Learning has a key-role with respect to the full engagement of final users, in the double role of Citizens and qualified Human Capital for Competitiveness [1]. From the technological point of view, our approach is based on Adaptive, Knowledge-based Learning Systems, a Personal Learning and Working Environment and a general Semantic Framework. Distinctive features like Discovery of Linked Semantic Resources and Semantic Paths and Natural Language - based Semantic Retrieval and Interaction, based on Systems and tools above, are shortly presented.
机译:本文主要关注知识社会与智慧城市之间的紧密关系。 KS允许SC部署并实现其所有潜力,并利用其所有资源造福公民;不利的是,SC提供了实时的,高级的,高质量的知识资源,而KS确保最佳,意外的语义检索和现有资源的连接。在这种情况下,学习在最终用户的充分参与方面具有关键作用,在公民和合格的人力资本竞争力双重角色中[1]。从技术角度来看,我们的方法基于自适应的,基于知识的学习系统,个人学习和工作环境以及通用语义框架。简短介绍了基于上述系统和工具的独特功能,例如发现链接的语义资源和语义路径以及基于自然语言的语义检索和交互。

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