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Semantic relevance measure between resources based on a graph structure

机译:基于图结构的资源之间的语义相关性度量

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Upon developing an information system, establishing an effective information retrieval method is the main problem along with the management of the information. With ontologies, the semantic structure of knowledge can be represented and the resources can be managed along with their context information. Observing that within this knowledge space, resources are not isolated but connected to each other by various types of relations, we believe that utilising those relations can aid information provisioning. In this paper, we explore the concept of the semantic relevance between resources and the semantic structure of a knowledge space, and present a relevance measuring algorithm between resources based on a graph structure, with two implementation examples.
机译:在开发信息系统时,建立有效的信息检索方法是与信息管理的主要问题。通过本体,可以表示知识的语义结构,并且可以与其上下文信息一起管理资源。观察到在这个知识空间内,资源不是被隔绝的,而是通过各种类型的关系彼此相连,我们相信利用这些关系可以帮助信息供应。在本文中,我们探讨了资源与知识空间的语义结构之间的语义相关的概念,并在具有两个实现示例的基于图形结构的资源之间的相关性测量算法。

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