如何教授基于领域本体的知识图谱构建?爱尔兰的实验

IF 0.6 4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Subhashis Das, Mayukh Bagchi, Pamela Hussey
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引用次数: 0

摘要

领域代表属于世界特定部分的概念。在语言上对这些领域概念进行编码的词语的特定意义由领域特定资源提供。这些词的显式含义越来越多地使用特定于领域的本体来计算捕获,即使对于相同的参考领域,这些本体也常常在语义上不兼容。随着依赖领域本体的信息系统的扩展,不仅需要设计领域本体和基于领域本体的知识边缘图(knowledge - edge Graphs, KGs),还需要将它们与通用标准和互操作性约定保持一致。这对领域专家来说是一个难以克服的挑战,因为他们必须额外学习领域本体和知识库的构建。到目前为止,不同的研究小组使用不同的技术方法和基于不同应用领域的场景提出了几种研究方法。然而,还没有提出一种方法,它不仅有助于设计概念上有充分基础的本体论,而且同样以知识组织的一般教学原则为基础,因此足够灵活,可以对-à-vis领域专家进行教学和复制。本文的目的是提供这样一种通用的、教学上灵活的语义知识边缘建模方法。我们通过专业级数字医疗保健课程的示例和插图来举例说明该方法,并以基于技术参数和用户体验设计原则的评估作为结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How To Teach Domain Ontology-based Knowledge Graph Construction? An Irish Experiment
Domains represent concepts which belong to specific parts of the world. The particularized meaning of words linguistically encoding such domain concepts are provided by domain specific resources. The explicit meaning of such words are increasingly captured computationally using domain-specific ontologies, which, even for the same reference domain, are most often than not semantically incompatible. As information systems that rely on domain ontologies expand, there is a growing need to not only design domain ontologies and domain ontology-grounded Knowl­edge Graphs (KGs) but also to align them to general standards and conventions for interoperability. This often presents an insurmountable challenge to domain experts who have to additionally learn the construction of domain ontologies and KGs. Until now, several research methodologies have been proposed by different research groups using different technical approaches and based on scenarios of different domains of application. However, no methodology has been proposed which not only facilitates designing conceptually well-founded ontologies, but is also, equally, grounded in the general pedagogical principles of knowl­edge organization and, thereby, flexible enough to teach, and reproduce vis-à-vis domain experts. The purpose of this paper is to provide such a general, pedagogically flexible semantic knowl­edge modelling methodology. We exemplify the methodology by examples and illustrations from a professional-level digital healthcare course, and conclude with an evaluation grounded in technological parameters as well as user experience design principles.
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来源期刊
Knowledge Organization
Knowledge Organization INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
1.40
自引率
28.60%
发文量
7
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