文章基本信息

标题：OBAA-LEME: A Learning Object Metadata Content Editor supported by Application Profiles and Educational Metadata Ontologies
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作者：André Behr ; Tiago Thompsen Primo ; Rosa Vicari 等
期刊名称：Anais dos Workshops do Congresso Brasileiro de Informática na Educação
印刷版ISSN：2316-8889
出版年度：2014
卷号：3
期号：1
页码：455
语种：Portuguese
出版社：Anais dos Workshops do Congresso Brasileiro de Informática na Educação
摘要：This paper proposes an editor for Learning Object Metadata compatible with the Semantic Web. This tool uses two base ontologies, OBAA and VideoAula to provide the semantics to describe learning objects. These ontologies are the core for a tool to verify the consistency of the user-input data and realize inferences about the described information. Furthermore, this tool is mainly based on application profiles (derived from the base ontologies) that copes with the reasoning engine that verifies the description of the learning objects. The tool also serializes a learning object metadata ontology in an open server that can be reused in third-party applications.