The following are classifications of knowledge searches that KM software is targeted at improving. I find it interesting that each of these searches needs to be addressed by KM software differently, yet most times people are conducting several of these searches simulataneously. It will be interesting to see how software melds the needs together.
Taken directly from Susan Feldman's January 1, 2000, article in The Answer Machine:
1. Broad subject searches -- fishing expeditions about a topic unfamiliar to the searcher. Appropriate terminology is hard to determine at first.
2. Narrow, well-defined subject searches on a familiar topic with known terms.
3. Comparative, information-seeking -- which company is the biggest, has revenues of more than $X, or more than 100 employees?
4. Known-item searching for a specific title, author, or publication.
5. Continuous monitoring of a subject.
6. Pattern matching for emerging trends: foraging for matches to a description of an event or a profile of a competitor or other entity.
7. Fact or statistic location -- who, what, where, when, how?
8. Chronological reconstruction of events or actions
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