Automatic generation of virtual learning spaces driven by CaVaDSL: an experience report

R. G. Martini, P. Henriques
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引用次数: 3

Abstract

Several applications are based on Domain-Specific Languages (DSL). They provide the right terminology to a peculiar problem/subject, because they use a particular domain vocabulary that defines abstract concepts, different from general-purpose languages. Aiming an easy generation of virtual Learning Spaces (LS) for the use of the responsible of institutional archives or museums, we have idealized and developed an external domain-specific language, called CaVa DSL, to describe, in an abstract level, virtual exhibition rooms in the museum curator's viewpoint, giving the curator the possibility to specify the virtual LS upon a domain ontology vocabulary. We also contribute with a set of processors that deal with CaVa DSL and generates virtual Learning Spaces, turning available the navigation over important and real information contained in archival documents to the public through virtual museums. To demonstrate the obtained results, we present a running example along the paper showing the virtual LS generation process.
CaVaDSL驱动的虚拟学习空间自动生成:一份体验报告
一些应用程序是基于领域特定语言(DSL)的。它们为特定的问题/主题提供正确的术语,因为它们使用定义抽象概念的特定领域词汇表,这与通用语言不同。为了方便机构档案馆或博物馆负责人使用虚拟学习空间(LS),我们理想化并开发了一种外部领域特定语言,称为CaVa DSL,以博物馆馆长的观点在抽象层次上描述虚拟展览室,使馆长有可能根据领域本体词汇来指定虚拟LS。我们还提供了一组处理CaVa DSL和生成虚拟学习空间的处理器,通过虚拟博物馆向公众提供档案文件中包含的重要和真实信息的导航。为了证明所获得的结果,我们给出了一个运行的例子来展示虚拟LS的生成过程。
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