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Tacit Knowledge Mining

Tacit Knowledge Mining. John Canny Computer Science Division UC Berkeley. Motivation. People often collaborate across geographic, cultural and disciplinary boundaries.

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Tacit Knowledge Mining

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  1. Tacit Knowledge Mining John CannyComputer Science DivisionUC Berkeley

  2. Motivation • People often collaborate across geographic, cultural and disciplinary boundaries. • Workgroups are more short-lived today. There is less time to learn each other’s skills sets, to develop trust, and a “voice” within the group. • On the other hand, there is a wealth of information available in groupware systems about people’s interactions with each other and with data.

  3. An opportunity • We know that much of the useful knowledge in a group or organization is “tacit”. Can we recover and use tacit knowledge? • Human knowledge and knowhow is difficult and expensive to codify. • But the knowledge encoded in activity data may be less so. Examples: expertise discovery, group structure, document dependencies.

  4. Platform: Lotus Notes for now • Data sources: • Direct messaging: sender, receiver, time, duration.. • Topical discussions or threaded email. • Document access (by links or directories) • Document search (by text queries) • Annotations on documents.

  5. Analysis methods: • Social Networks. Centrality measures for estimating authority and prestige.

  6. Analysis methods: • Clustering. Discovering tacit groups, and related sets of documents. • Classification. Use a knowledge hierarchy to classify documents, and compute expertise profiles.

  7. What we want to assist: • Expertise discovery. Expertise profiles include authority in each area. • Document access. We compute document authorities and use them in ranking. • Group dynamics. Does the communication network contain any problematic structures?

  8. What we want to assist: • Sensemaking, document context. Record the document creation process. Prioritize records. • Attention management. Infer a current task and adjust awareness of documents and other people according to their proximity to the task. • Perspectives. Organize annotations (when available) on a document according to the expertise of author and annotator.

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