Knowledge-based system framework using fault-tolerant intelligent agents
In order to effectively capture and maintain mission-critical knowledge assets, many of today’s organizations require large-scale, knowledge-based systems. These systems deploy knowledge assets to users across distributed computing resources resident within both private and public networks.
Environments most applicable to deploying KnoWeb™ include military command and control, medical diagnosis and treatment, and enterprise management organizations.
The technology supporting knowledge-based systems has progressed to the point of being able to capture and use information on the order of thousands of knowledge units (algorithms/rules/frames/axioms), a level that begins to approximate human-like problem solving. To-date, however, no knowledge management system has been capable of supporting dynamic distributed problem solving over multiple large-scale and distributed knowledge systems. Sentar’s KnoWeb™ framework is designed to scale, monitor and manage these types of critical assets and processes.
The KnoWeb™ Framework is designed to manipulate and coordinate hundreds of thousands to millions of knowledge units. Unlike most systems, KnoWeb™ does not employ inference engines that operate only on knowledge that resides in the specific knowledge bases they control. That type of approach can only effectively manage information finding and retrieval KnoWeb’s™ Framework provides the ability to retrieve knowledge in a more general form, or combine knowledge retrieved from multiple sources, into integrated inference patterns. This approach is similar to how humans perform inference processes that involve widely distributed knowledge of more than one representation type or domain.
The KnoWeb™ Framework also provides distributed problem-solving, human-like reasoning intervention to bridge gaps in inference sequences, particularly between domain-specific and type-specific automated knowledge processing sub-sequences. KnoWeb™ decisions usually take the form of case-specific procedures implemented in software or hardware interfaces.