A KNOWLEDGE BASE FOR INTELLIGENT INFORMATION MANAGEMENT

Abstract

Systems become increasingly complex. Their decomposition into smaller units is the usual way to overcome the problem of complexity. This has historically led to the development of atomized structures consisting of a limited number of autonomous subsystems that decide about their own information input and output requirements, i.e., they can be characterized by what is called an information closure. Autonomous subsystems still can be interrelated and embedded in larger systems, as autonomy and independence are not equivalent concepts. These ideas are gaining a very strong interest in both academia and industry, and the atomized approach to information flow modeling and evaluation is an idea whose time has certainly come. This presentation discusses some modeling and evaluation issues, and challenges existing in the exciting area of knowledge capture for information flow-management support for autonomous subsystems.