A Knowledge-Based Multi-Media Distributed Database System For Radiology

本研究涉及领域和应用的使用 知识，以合并和管理科学多媒体数据， 多个来源。 这项研究的主要目的是 开发将知识与生物医学相结合的方法 图像数据库，并提供近似，摘要和 通过一般化，专门化， 和关联操作。 此外，逻辑索引技术 用于根据语义内容和要求检索图像， 的查询语言结构，以支持这种 将开发合作问答。 这些特征 重要的是帮助科学家们提取新的科学 来自原始数据的知识。 这些概念将在 与生物医学图像数据库相连接的试验台。 联合 来自计算机科学的研究人员 系和医学院将保证原型系统 所用的实验对生物学和 医疗应用 新的方法使访问 巨大的图像库的内容和功能，而不是由 人工密钥，例如个人ID。这种能力 通过表征对象来增强图像数据库 功能或功能障碍和行为， 改进的图像分析和诊断技术。 成果 本研究的成果应可扩展到其他图像和多个 媒体数据库应用程序，并在实验结果 将提供的基于知识的图像数据库系统 to the research研究community社区.

This research deals with the use of domain and application knowledge to merge and manage scientific multi-media data from multiple sources. The primary goal of this research is to develop methodologies to integrate knowledge with bio-medical image databases and to provide approximate, summary and conceptual query answering via generalization, specialization, and association operations. Further, logical indexing techniques for retrieving images by semantic contents and the requirements of the query language constructs for supporting such cooperativequery answering will be developed. Such features are important in aiding scientists to extract new scientific knowledge from the raw data. These concepts will be validated in a testbed linked with the bio-medical image databases. The joint research between the investigators from the Computer Science Department and Medical School will assure the prototype system and experiments used are of direct interest to biological and medicalapplications. The new methodology enables access to the vast storehouse of images by content and features rather than by artificial keys, such as a person's ID. Such capabilities enhance the image databases by characterizing the objects functions or dysfunctions and behavior which will lead to improved image analysis and diagnosis techniques. The outcomes of this research should be extensible to other image and multi- media database applications and result in an experimental knowledge-based image database system that will be made available to the research community.