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Managing and Querying Image Annotation and Markup in XML

机译:在XML中管理和查询图像注释和标记

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摘要

Proprietary approaches for representing annotations and image markup are serious barriers for researchers to share image data and knowledge. The Annotation and Image Markup (AIM) project is developing a standard based information model for image annotation and markup in health care and clinical trial environments. The complex hierarchical structures of AIM data model pose new challenges for managing such data in terms of performance and support of complex queries. In this paper, we present our work on managing AIM data through a native XML approach, and supporting complex image and annotation queries through native extension of Xquery language. Through integration with xService, AIM databases can now be conveniently shared through caGrid.
机译:代表注释和图像标记的专有方法是研究人员共享图像数据和知识的严重障碍。注释和图像标记(AIM)项目正在开发基于标准的信息模型,用于医疗保健和临床试验环境中的图像注释和标记。 AIM数据模型的复杂层次结构在性能和对复杂查询的支持方面给管理此类数据提出了新的挑战。在本文中,我们介绍了通过本机XML方法管理AIM数据,并通过Xquery语言的本机扩展支持复杂的图像和注释查询的工作。通过与xService集成,现在可以通过caGrid方便地共享AIM数据库。

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