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Generation of OWL Ontologies from Concept Maps in Shallow Domains

机译:从概念地图的猫头鹰本体的产生浅域

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A proposal is presented for integration between a graphical model, such as conceptual maps, and ontologies codified in the OWL language. Conceptual maps are a flexible form of knowledge representation, very useful in education-related collaborative environments; OWL is a language of knowledge representation oriented to semantic analysis and processing carried out by machines. Integration consists of a set of formal transformation applied to conceptual maps and the semantic analysis of the relations linking concepts. The proposed method is based on a concept sense-disambiguation procedure, also defined by the authors, and in the WordNet lexical database. It applies to conceptual maps of shallow domains with labels in the Spanish language.
机译:提出了一个关于图形模型之间的集成,例如在猫头鹰语言编码的概念映射和本体中的集成。概念地图是一种灵活的知识表示形式,非常有用于教育相关的协作环境;猫头鹰是一种以机器开展的语义分析和处理为导向的知识表示的语言。集成包括一组正式转型,适用于概念地图和与关联概念的关系的语义分析。该方法基于概念感应歧义程序,也由作者和Wordnet词汇数据库定义。它适用于西班牙语标签的浅域的概念地图。

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