基于元数据的信息系统语义相似度度量方法

Fourth International Conference on Software Engineering Research, Management and Applications (SERA'06) Pub Date : 2006-08-09 DOI:10.1109/SERA.2006.5

Jung-Eun Lim, O-Hoon Choi, Hong-Seok Na, D. Baik

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引用次数: 6

摘要

为了共享特定领域的信息，信息系统定义自己的元数据并使用它。但是在异构域间进行信息共享时，必然会出现元数据不匹配的问题。提出了一种增强异构领域信息系统间语义互操作性的方法。为此，我们在元数据上定义了一个概念模型，该模型在元数据注册表(MDR)中进行描述，并设计了一种概念模型实例间语义相似度度量方法。该方法能够为不同域上的系统信息共享选择最优元数据

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A Methodology for Semantic Similarity Measurement among Metadata based Information System

To share information on specific domain, the information systems define their own metadata and use it. But metadata mismatch problem must be occurred when we try to share the information among heterogeneous domains. This paper proposes the method for enhancing semantic interoperability among information systems in heterogeneous domain. For this, we define a concept model on metadata which is described in metadata registry (MDR) and design a method for semantic similarity measurement among instances of concept model. With this method, it is able to select the optimum metadata for information sharing of systems on difference-domains

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Fourth International Conference on Software Engineering Research, Management and Applications (SERA'06)

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