I know of David Snowden from his work introducing storytelling and narrative approaches to knowledge management, so I was curious what his take would be on tagging.
First Nancy Garman introduced Taxonomy Boot Camp, a conference overlapping KMWorld & Intranets.
Experiment - slide with cow, chicken, grass - close our eyes and raise our hands for the one which is the odd one out. Anglo-Saxon world - 2/3rds of people eliminate grass (not an animal), Southern Europe - tend to eliminate chicken because cow has relationship with grass.
Dave makes the point that social computing is being used as a categorization device (cf. Weinberger - we don’t have to put people in boxes) when it’s really about relationships. Social computing environments are ecologies, evolve.
Old ways of thinking persist longer than we think.
Worldwide creation myth: Patriarchal gods bring order out of chaos (Australia an exception).
Complex adaptive systems - Mutual constraint of system and agents (inherently unpredictable and volatile). In the blogosphere, influenced by proximate relationships. Sensitive dependency to initial conditions, which means you can’t replicate outcomes. Manage the emergence of attractors within boundaries.
Not a matter of choosing one system and getting it right, you let people experiment within boundaries. Examples of children’s party, roundabout.
Not true that everything is miscellaneous, everything is fragmented. Human brain makes decisions quickly, based on 2-8% of what they see, runs it against patterns. Humans are not information processors, we are pattern recognition devices. We assemble and produce fragments.
Fragments have the advantage of being context-independent - so you ask ambiguous questions, get answers from a range of perspectives, assemble your own answer. Reducing ambiguity is not what our goal should be.
Traditional approach to metadata: Created by profession or authors, top-down, removing ambiguity and static.
User-created approach to metadata: Keyword tagging, works well within boundaries. Nouns without grammar or agreement. There are no deep structures in languages - language changes subtly in context.
We’re moving from searching to serendipitous browsing.
Issues with user-created metadata - used by techies and early adopters at the moment. Not thinking of the next generation. Too focused on individuals - the “village idiots” phenomenon (”village idiots” cluster), how do you force cognitive diversity.
Semi-structured tagging (funded by DARPA/Singapore government, anti-terrorist technology lets people look at narratives and view areas that can be changed - managing attractors)
- Why are things the way they are, need to understand the boundaries.
- Types of tags (names, multiple options, key words*, free text, filters)
Implications for KM:
- No communities of practice, no portals - there are not recipes
- Provide the tools (blogs, wikis, freeware support), work with key influencers and senior people, amplify/dampen behaviors as needed. Add tools and training (utilities, HTML training, common document systems) and encourage collaboration, find a project –> start with a blog —> preload wiki with content of blog —> publish.
- Start using narrative, linking and connecting.
- Stimulate networks (5 things you can remember/15 max number of people you can trust/150 acquaintances you can manage).
- Ban e-mail attachments (lose coherence, bad security) - use linking.
- Restrict firewalls - more aware. Example of removing traffic lights, makes people more aware as drivers.
Get people connected. Let them do what the hell they want - they’ll use different things, experiment.
Three big issues:
- Validation (example of Wikipedia, tyranny of crowds)
- Scale (why do we assume tech will scale?)
- Community development (does virtual environment permit necessary experience and development, do we create autistic communities through overstructure)
Three heuristics
- Knowledge is volunteered, not constructed
- Human knowledge is contextual
- We know more than we can say, say more than we can write down (importance of narrative and experience)
*60-70% of key words associated with content not in the content, systems of meaning
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