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

0137140张本奖项支持美国科学家参加将于2002年10月9日至11日在日本轻井泽举行的关于地理图像数据注释和资源发现的美日研讨会。联合组织者是纽约州立大学布法罗分校（SUNY）的张爱东教授和日本东京国立信息研究所（NII）的弗雷德里克安德烈斯博士。本次会议将讨论当前美日在元数据建模、资源发现和大规模地理图像数据集查询方面的研究成果。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希望的领域。具体课题包括：1)提取地理图像的语义特征；2)检测地理图像任意形状的聚类；3)制定集成系统的元数据，引导查询到相关数据库；4)建立基于元数据的资源选择方法的理论基础；5)查询处理，支持基于内容的地理图像检索。研究人员目前的项目是研究支持通过互联网有效和高效地访问各种地理图像数据库的新方法。这些方法为在地理图像数据库之上创建元级系统以支持分布式地理图像检索奠定了基础。通过该项目收集了大量地理数据（JIOMEDIA），并基于语义进行了分类。该资产可供用户用于研究和教育目的。目前正在开发一套软件工具，并将提供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来推进国际人力资源，其中一些人发表了论文。通过思想和技术的交流，该项目将扩大我们的基础知识基础，促进国际了解与合作。研究人员计划在他们的网页上发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.