Asynchronous information space analysis architecture using content and structure-based service brokering

Our project focuses on rapid formation and utilization of custom collections of information for groups focused on high-paced tasks. Assembling such collections, as well as organizing and analyzing the documents within them, is a complex and sophisticated task. It requires understanding what information management services and tools are provided by the system, when they appropriate to use, and how those services can be composed together to perform more complex analyses. This paper describes the architecture of a prototype implementation of the information analysis management system that we have developed. The architecture uses metadata to describe collections of documents both in term of their content and structure. This metadata allows the system to dynamically and in a content-sensitive manner to determine the set of appropriate analysis services. To facilitate the invocation of those services, the architecture also provides an asynchronous and transparent service access mechanism.