Ontology-based Semantic Integration Scheme for Medical Image Grid

Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07) Pub Date : 2007-05-14 DOI:10.1504/IJGUC.2009.022025

Hai Jin, Aobing Sun, Ran Zheng, R. He, Qin Zhang

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引用次数: 14

Abstract

Ontology is becoming a key for grid platform to support the composition of heterogeneous resources by means of processing resource description and enactment. MedlmGrid (Medical Image Grid) aims to archive, access, and analyze medical data from distributed healthcare information systems to adapt to the development of healthcare information infrastructure. But the heterogeneities of those systems, especially the semantic gulfs, hamper their interoperations in grid environment. In this paper, we propose an OSIS (ontology-based semantic integration scheme) for MedlmGrid, which adopts a hybrid method to build MedlmGrid ontologies and unifies its information exchange model with HL7 (Health Level 7) v3 protocol. The MedlmGrid ontologies share the same vocabulary to simplify the knowledge discovery and semantic transformation within distributed environment. The rule-based ontology mapping components are also designed to support semantic operations of MedlmGrid. We test the performances of our scheme with simulation experiments to evaluate the feasibility of our approach.

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基于本体的医学图像网格语义集成方案

通过处理资源描述和制定，本体正成为网格平台支持异构资源组合的关键。MedlmGrid (Medical Image Grid)旨在对来自分布式医疗信息系统的医疗数据进行归档、访问和分析，以适应医疗信息基础设施的发展。但是这些系统的异构性，特别是语义鸿沟，阻碍了它们在网格环境下的互操作。本文提出了一种基于本体的MedlmGrid语义集成方案OSIS (ontology-based semantic integration scheme)，采用混合方法构建MedlmGrid本体，并将其信息交换模型与HL7 (Health Level 7) v3协议统一。MedlmGrid本体共享相同的词汇表，简化了分布式环境中的知识发现和语义转换。基于规则的本体映射组件也被设计为支持MedlmGrid的语义操作。通过仿真实验验证了该方案的性能，以评估该方法的可行性。

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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来源期刊

Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07)

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