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Taking QuickPlace to the next level of collaborative knowledge sharing (continued)
The effect is that, by fractally distilling or factoring fractal semantic patterns as common vocabulary surfaces out of unstructured documents, much like first order predicate calculus, you get highly operative semantic fractal patterns as first order Knowledge Operators that can be reused to generate higher order semantic assemblies as component-based concepts and next-level semantic operators based on common context.
By automatically deriving fractal semantic patterns as simplicity from the apparent complexity of unstructured documents, you get the ability to "mix and match" combinations of knowledge concepts contained in and across documents, as they apply to corporate problems and corporate opportunities. This results in the ability to explore and analyze the use of corporate knowledge across corporations to business problems. That way you can reuse that which works, rather than redoing it, which is too often the case in today's world of infoglut. Such a model can help us address the concern that Lew Platt lamented when at the helm of Hewlett Packard: "If only HP knew what it knew…".
Dynamic knowledgespace rumbles under the hood 2G-KM, based on high-dimensional associative pattern inferences, can recognize, capture, preserve, leverage, and monitor the use and reusage of corporate knowledge dynamically, in real-time. The QuickPlace architecture provides a superb environment to leverage the power of second generation Knowledge Management without having to worry about all the complex details of pattern matching that forms dynamically under the hood, permitting users to focus on and leverage simple knowledge usage patterns to aid in decision-making, knowledge sharing, and learning management.
2G-KM creates an environment where data is intelligent, self-simplifying, self-organizing, self-describing and active-reflexive (self-aware). Through this pattern-based metaphor, concepts are extracted out of documents in hierarchy form, componetizing documents down to the paragraph and knowledge encapsulation phrase level, generating a knowledge schema in XML of concept pattern usage in and across documents.
In the next article in this series, I'll address in more detail why a dynamic multidimensional hyperspace architecture will work and why raw search can't.
Daniel Koffler is a Contributing Editor to DominoPower. Daniel is a R6 CLP and works as an IT consultant for major organizations in North America and Europe, specializing in network design, security analysis and knowledge management, he is also the author of several OpenSource projects. Daniel can be reached at dkoffler@users.sourceforge.net.
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