Linkage Discovery of Linked Data Based on Ontology Reasoning

Jun Zhai, Yiduo Liang, Lufei Huang
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引用次数: 1

Abstract

The library is an important application domain of government open linked data. The value of linked data lies in discovering more semantically related information by RDF links. Ontology is a key technology by providing a source of shared and precisely defined terms that can be used in descriptions of resources. Reasoning over such descriptions will be essential if resources are to be more accessible to automated process. For utilizing ontology reasoning on Link discovery of library linked data, in this paper, a Link discovery framework is proposed and its workflow is introduced. Taking library domain for example, we showcase the value of framework in knowledge discovery and the result can be applied to open the digital government resources.
基于本体推理的关联数据关联发现
图书馆是政府开放关联数据的重要应用领域。链接数据的价值在于通过RDF链接发现更多语义相关的信息。本体是一项关键技术,它提供了可用于描述资源的共享和精确定义术语的来源。如果自动化过程更容易获得资源,那么对这些描述的推理将是必不可少的。为了将本体推理应用于图书馆链接数据的链接发现,本文提出了一个链接发现框架,并介绍了其工作流程。以图书馆领域为例,展示了框架在知识发现中的价值,结果可以应用于数字政务资源的开放。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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