U.S.-Japan Joint Seminar: International Digital Library Annotation and Resource Discovery of Geographical Image Data

0137140 Zhang该奖项支持美国科学家参与一项美国- 2002年10月9日至11日在日本轻井泽举行的日本地理图像数据注释和资源发现研讨会。 共同组织者是纽约州立大学布法罗分校的张爱东教授和日本东京国家信息学研究所的弗雷德里克·安德烈斯博士。 本次会议将讨论目前美国的一项研究成果-日本大规模地理图像数据集元数据建模、资源发现和查询项目。 该研讨会旨在展示当前的研究成果，澄清各种问题，并确定未来联合工作的有前途的领域。 具体议题包括：1）提取地理图像的语义特征，2）检测地理图像的任意形状的簇，3）为集成系统制定元数据以将查询引导到相关数据库，4）建立基于元数据的资源选择方法的理论基础，以及5）查询处理以支持内容-研究人员目前的项目研究新的方法，以支持有效和高效地访问各种地理图像互联网上的数据库。 这些方法为在地理图像数据库之上建立元级系统以支持分布式地理图像检索奠定了基础。 通过这个项目，正在收集大量的地理数据（JIOMEDIA），并根据语义进行分类。 用户可出于研究和教育目的访问该资产。 正在开发一套软件工具，将可用于建立管理大规模地理数据资源的元服务器环境。 研讨会通过许多博士后和研究生的参与，其中一些人提交论文，促进国际人力资源。 通过交流思想和技术，该项目将扩大我们的基础知识，促进国际理解与合作。研究人员计划在他们的网页上公布研讨会的会议记录。

0137140ZhangThis award supports the participation of American scientists in a U.S.-Japan seminar on annotation and resource discovery of geographical image data to be held in Karuizawa, Japan from October 9-11, 2002. The co-organizers are Professor Aidong Zhang of the State University of New York (SUNY) at Buffalo and Dr. Frederic Andres of the National Institute of Informatics (NII) in Tokyo, Japan. This meeting will discuss research results of a current U.S.-Japan project on metadata modeling, resource discovery, and querying of large-scale geographical image datasets. The seminar aims to demonstrate the current research achievement, clarify a variety of questions, and identify promising areas for future joint work. The specific topics include: 1) extracting semantic features of geographic images, 2) detecting clusters of arbitrary shape of geographic images, 3) formulating the metadata for the integrated system to direct a query to relevant databases, 4) establishing a theoretical foundation of resource selection approaches based on the metadata, and 5) query processing to support content-based retrieval of geographic images.The researcher's current project investigates novel approaches to supporting effective and efficient access to various geographic image databases over the Internet. These approaches establish a foundation for creating a meta-level system on top of geographic image databases to support distributed geographic image retrieval. Through this project a huge volume of geographic data (JIOMEDIA) is being collected and classified based on the semantics. This asset will be accessible by users for research and educational purposes. A set of software tools is being developed and will be made available for use of establishing a metaserver environment which manages large-scale geographic data resources. The seminar advances international human resources through the participation of many postdocs and graduate students with some of them presenting papers. Through the exchange of ideas and technology, this project will broaden our base of basic knowledge and promote international understanding and cooperation. The researchers plan to publish proceedings of the seminar on their Web pages.