Category Archives: aspects of practical knowledge representation

My goals … and biases

You can’t apply technology and supporting strategies effectively to a resource if that resource does not have a well-understood model. Applying technology to the superficial (or imagined) properties of an un-modeled resource — for example, all the text in the … Continue reading

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What is a “Concept”?

I believe it is fair to define a Concept as our mental representation of a discrete thing (tangible or abstract). A Concept often correlates well with a single dictionary meaning of a word or phrase.  Conversely, several different words or … Continue reading

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Let’s get practical — Part 2

Continuing a series of posts on practical suggestions for converting information into meaning. Initial capture of ideas and information I follow the practice of capturing information from sources (mostly online) and saving it in discrete, labeled chunks. I use a … Continue reading

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Incremental formalization

So, do we force everyone in the organization to study formal representation of knowledge and use spreadsheet-like tools or language-oriented programming tools whenever they speak or record an Insight? Of course not. (Although I will certainly be accused of proposing … Continue reading

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Ignore almost everything … if you can.

As a knowledgebase grows larger, our first requirement is to limit what we look at to those things that are highly relevant. One way to meet this requirement is explicit specification of “context.” What is a “context”? Few people would … Continue reading

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