NSF Young Investigator

科学信息系统是构建和研究支持科学研究的完整计算机系统。该项目正在构建一个“电子社区系统”模型，一个包含分子生物学家社区所有知识的数字图书馆，以及一个在NSFNET上操作该图书馆的软件环境。第一个版本目前在20个生物实验室中运行。正在合作进行几项研究，以调查建设电子社区的技术和社会学问题。“信息空间”是用于支持从许多分布式数据源中统一透明检索的表示；它由统一的对象组成，这些对象将来自源的项目打包并将它们相互连接以形成关系图。在提供跨多种数据类型的一致性方面存在数据模型问题，在提供跨广域网交互的透明性方面存在网络缓存问题。在支持从自动生成的表示（包括特定于领域的同义词库）中基于语义的检索时，还存在信息检索问题。最后，关于社区的沟通模式如何在重要的电子支持下发生变化的社会学问题。

Science information systems is the construction and study of complete computer systems to support scientific research. This project is building a model "electronic community system", a digital library containing all the knowledge of a community of molecular biologists and a software environment to manipulate this library across the NSFNET, with the first release currently running in 20 biology laboratories. Several studies are being pursued in collaboration to investigate technology and sociology issues in constructing electronic communities. An "information space" is the representation used to support uniform transparent retrieval from many distributed data sources; it consists of uniform objects which package items from the sources and interconnect them to form a relationship graph. There are data model issues in providing uniformity across multiple data types and network caching issues in providing transparency of interaction across wide-area networks. There are also information retrieval issues in supporting semantic-based retrieval from an automatically generated representation which includes a domain-specific thesaurus. Finally, there are sociological issues in how the communication patterns of the community change with significant electronic support.