STCI: A Semantic eScience Framework (SESF): Facilitating Next Generation Data Intensive Science

该奖项由2009年美国复苏和再投资法案(公法111-5)提供的资金提供，该项目将实施可配置和可扩展的语义eScience框架。整合将需要一些研究，以适应不同级别的语义表达能力和用例中的用户需求。对于在社区环境中执行的语义编码(即本体)，最好的可扩展性是以模块化方法实现的，即一个本体框架，在该本体框架中，特定应用程序一直到社区都可以扩展语义以满足其需求。在过去的几年里，语义技术得到了发展，新的工具不断出现。该项目的部分工作将是在新的框架中适应这些进步，并为(某些)技术进步铺设一条可持续的软件道路。除了对目前数据科学接口的概括外，该项目还将包括一个适用于信息交换中心和/或教育门户网站、数字图书馆和其他学科使用的上层接口。

This award is made using funds made available by the American Recovery and Reinvestment Act of 2009 (Public Law 111-5)Project will implement configurable and extensible semantic eScience framework. Configuration will require some research into accommodating different levels of semantic expressivity and user requirements from use cases. Extensibility is best achieved in a modular approach to the semantic encodings (i.e. ontologies) performed in a community setting, i.e. an ontology framework into which specific applications all the way up to communities can extend the semantics for their needs. Over the past few years, semantic technologies have evolved and new tools are appearing. Part of the effort in this pro ject will be to accommodate these advances in the new framework and lay out a sustainable software path for the (certain) technical advances. In addition to a generalization of the current data science interface, project will include an upper-level interface suitable for use by clearinghouses, and/or educational portals, digital libraries, and other disciplines.