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Creating intelligent, adaptive applications (continued)

One such product is BML. This is a significant offering. BML is a minimal scripting language that permits you to describe in an event-driven DOM (Document Object Model) document how Java Beans work together to solve a problem. This is called Document Driven Design. By providing a scripting language that permits you to describe how Beans are configured on an event-driven basis, developers and users can focus more on the solution than the technology. This incremental function model permits users to proceed with applications, while developers write the Java Bean functions that may be missing in scripted application solutions. BML truly taps the potential presented by the component software market.

Java Beans permit you to expose Methods, Variables as Properties, and Field Values. It provides a Registry where objects are dynamically registered as a holding tank for sharing information and event synchronization between Beans. BML can be enhanced with JavaScript or any other scripting language or compiled language as a functional component as well. BML and JavaScript can be generated from the context of the data being exercised. When combined with dynamic context-driven knowledge management applications like I have discussed in past articles, Intelligent Knowledge Management application products that shape themselves to the user's context through adaptive Knowledge Management techniques can be written. They permit applications to self-learn and self-generate as they grow based on an increased understanding of the user's context, through a technique called "Semantic Convergence."

Wiring your world through adaptive, intelligent Knowledge Management
As this new component-based technology matures, the concept of out-of-the-box application solutions will become restrictive and archaic because no two users come from the same context. Context is what makes people different. The increasing ability for modern Knowledge Management applications to adapt to its users through intelligent, adaptive self-learning, self-organizing, and self-regeneration is very real and key to optimizing corporate success to take advantage of opportunities and take corrective action against problems as they form. This technology can be delivered today.

These context-driven multidimensional associative Knowledge Management applications will become collaborative companions not only to expert users (who can use them to leverage their own experiential expertise with that of other experts), but also to non-expert staff who must harness the power of knowledge embodied in few corporate experts (who are seldom available to help them in times of need). They'll also help corporations to guard against expert staff turnover, a key exposure in the knowledge-based economy when so much of business depends on corporate expertise. It'll permit corporations to leverage the expertise of experts by distributing expertise without distributing the experts. This'll permit experts to do what they do best--build practical knowledge bases unobtrusively, simply, and naturally through the way they work.




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