Semantic Based Integration of Heterogeneous Databases

Xiaolei Wang, Yue-ting Chen
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Abstract

With the development of information technology, databases, search engines and other information technologies have been widely adopted in the health care system. However, sharing of those information resources is impeded by the heterogeneity and distribution among the independently designed and maintained information resources. Aiming at this problem, we bring forward an Integration of Heterogeneous Databases based on semantic web ontology , which is proposed to draw and represent the common interests of specific groups of people, and hence provide more meaningful and exhaustive query results. As an instance, we developed a unified Child Psychiatry Neuroimaging Portal based on the medical database resources such as the Internet Brain Volume Database (IBVD), Pubmed and so on. A prototype is developed to show that this semantic based integration can work well. Keywordssemantic; ontology; neuroimaging, integration, heterogeneous databases
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基于语义的异构数据库集成
随着信息技术的发展,数据库、搜索引擎等信息技术已广泛应用于卫生保健系统。然而,独立设计和维护的信息资源之间的异构性和分布性阻碍了信息资源的共享。针对这一问题,我们提出了一种基于语义web本体的异构数据库集成方法,该方法可以绘制和表示特定人群的共同兴趣,从而提供更有意义和详尽的查询结果。以Internet Brain Volume database (IBVD)、Pubmed等医学数据库资源为基础,开发了统一的儿童精神病学神经影像学门户。开发了一个原型来证明这种基于语义的集成可以很好地工作。Keywordssemantic;本体;神经成像,整合,异构数据库
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