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KNOWLEDGE MANAGEMENT
More on managing corporate aliteracy
By Bain Mckay
In last month's article (at http://www.dominopower.com/issues/issue200108/alliteracy0801001.html), I discussed how we are still stuck in the same old rut. In spite of the promises made by the latest expensive knowledge management technology, our networks are really only cluttered with pools of dead documents. It's in these pools that valuable corporate knowledge, essential for survival and success in today's highly competitive global knowledge-based economy, is trapped.
Last month, I began the discussion of an emerging generation of new knowledge management technology that can unleash the power of this knowledge. The power of this knowledge can become available through methods like automatic semantic tagging, user profiling, knowledge query transforms, and knowledge hunting through the powerful concept of knowledge recontextualization (a really big word implying that you're able to change the context of the knowledge).
In this second article, we continue our discussion of technology components in the new generation of knowledge management technology. In a later article, we'll discuss typical applications, the new and powerful concept of active-reflexive data, and iconographic drag and drop user-customizable component-based application assembly. So stay tuned to future issues where the fun will continue!
Automatic classification Results context can be automatically organized as semantic pivots around common themes that reflect the common context of the results collection, bound by the common themes across participating kSigs in kThreads. The themes in the results kThread provide an automatic taxonomy of the results and can be mapped to any corporate standard taxonomy through a taxonomy connector.
Furthermore, corporate taxonomy mapping can be automatically learned by the system through intelligent mediation, contextualizing documents that are already indexed to the targeted taxonomy. The binding medium becomes the kThreads that bind the mediation document kSigs to their respective taxonomy indexes, automatically generating the cross-association references.
In fact, such a system could automatically maintain the taxonomy-mapped semantic mediation fabric by conforming to a corporate taxonomy mapping policy, which mandates that taxonomy mapping must preserve a specified level of confidence before mapped intersections apply. This becomes straightforward to achieve in an autonomous fashion using the above pattern matching metaphor.
Document knowledge views Classification taxonomies can be published showing documents and their participating paragraphs componentized around themes along the kThread in which they participate.
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Teamstudio Edition 25 has shipped
It's finally here! Now that Teamstudio Edition 25 has shipped, listen to our latest Tool Time audio program to find out what's changed. Updates to all your favorite Teamstudio tools will be discussed.
Plus, you'll get an introduction to Teamstudio Undo (formerly known as Teamstudio Snapper).
Tap here to get started! |
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