基于上下文动词化的自解释本体可视化
Towards Self-explanatory Ontology Visualization with Contextual Verbalization
摘要：
本体是语义网的核心基础之一。要参与语义Web项目，领域专家需要能够理解所涉及的本体。可视化符号可以提供本体的概述，并帮助用户理解实体之间的联系。然而，用户首先需要学习视觉符号，然后才能正确地解释它。受控的自然语言表示将是立即可读的，并且在复杂公理的情况下可能是优选的，然而，本体的结构将保持不太明显。我们建议结合本体可视化与上下文本体verbalizations选定的本体（图）元素，显示控制自然语言（CNL）解释OWL公理对应于选定的视觉符号元素。因此，领域专家将受益于图形符号提供的高级概述和图中特定元素的详细文本解释。
英文摘要：
Ontologies are one of the core foundations of the Semantic Web. To participate in Semantic Web projects, domain experts need to be able to understand the ontologies involved. Visual notations can provide an overview of the ontology and help users to understand the connections among entities. However, the users first need to learn the visual notation before they can interpret it correctly. Controlled natural language representation would be readable right away and might be preferred in case of complex axioms, however, the structure of the ontology would remain less apparent. We propose to combine ontology visualizations with contextual ontology verbalizations of selected ontology (diagram) elements, displaying controlled natural language (CNL) explanations of OWL axioms corresponding to the selected visual notation elements. Thus, the domain experts will benefit from both the high-level overview provided by the graphical notation and the detailed textual explanations of particular elements in the diagram.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
