Extracting and capturing knowledge found in social software tools


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My presentation from the Knowledge capture and retention in law firms workshop in London, November 2008

Published in: Technology, Business

Extracting and capturing knowledge found in social software tools

  1. 1. Extracting and capturing knowledge found in social software tools Neil Richards KM Consultant www.knowledgethoughts.com
  2. 2. Today? <ul><li>How law firms are using web2.0 </li></ul>Quality control Indexing, archiving and distributing Extracting structured data
  3. 3. How law firms are using web2.0?
  4. 4. No single tool
  5. 5. <ul><li>Social networking </li></ul><ul><li>Wikis </li></ul><ul><li>Blogs </li></ul><ul><li>RSS </li></ul><ul><li>Tagging </li></ul>Instead…
  6. 6. Different needs Client knowledge Idea sharing Communications Managing Projects Team knowledge Subject knowledge Firm knowledge
  7. 7. Examples: Magic circle  team wikis, practice wikis and “Pedias&quot; Dewey & Leboeuf  wikis, blogs, rss & social bookmarking The Rosen Law Firm  wikis for reports, profile pages, communications Goodwin Proctor  wikis for managing projects, clients & legal knowledge Dykema  RSS, communication, information distribution Over 25% of the AMLaw 200  Client facing blogs
  8. 8. Extracting structured information
  9. 9. <ul><li>garbage in  garbage out </li></ul><ul><li>To extract useful knowledge you first have to have some </li></ul>
  10. 10. It requires the contributions of many
  11. 11. But lawyers are often too busy…
  12. 12. … or doing other things
  13. 13. Nobody likes filling out forms…
  14. 14. <ul><li>… and structured mark-up is too complex. </li></ul>'''Berlin''' is the capital of [[capital of::Germany]] and also its largest city; the city is now home to [[population::3,391,407]], down from a peak of 4.5 million before [[World War II]]. It measures [[area::891.69 square kilometers]] and has the coordinates [[coordinates::52°31'N; 13°24'E]]. Berlin is located in the north of [[located in::Germany]] [[Category:City]][[Category:sample pages]] {{#ask: [[Category:City]] [[located in::Germany]] | ?population | ?area#km² = Size in km² }}
  15. 15. Submitting knowledge needs to be simple
  16. 16. Order from chaos Tags / categories Favourites Social ratings Usage stats Enrichment Data analysis Social platforms
  17. 17. Quality control
  18. 18. Monitor key content Track changes Watch usage
  19. 19. <ul><li>Have some content PSL & Partner approved </li></ul><ul><li>Embed visual indicators of quality </li></ul><ul><li>Make the names of contributors visible </li></ul><ul><li>Content-appropriate levels of review </li></ul>
  20. 20. Indexing and archiving Low volume – high value. You can’t index everything. Take usage into account Where possible, track “expiry dates” and have a process to retire knowledge
  21. 21. <ul><li>Distribution </li></ul>
  22. 22. Additional information & reference material http://www.knowledgethoughts.com/blog/?page_id=215 Photo credits http://www.sxc.hu/photo/787433 http://www.sxc.hu/photo/938865 http://www.sxc.hu/photo/604247 http://www.sxc.hu/photo/989421 http://www.sxc.hu/photo/334026 http://www.sxc.hu/photo/1088897 http://www.sxc.hu/photo/304293 http://www.sxc.hu/photo/292426 http://www.sxc.hu/photo/253955 http://www.sxc.hu/photo/1005156 http://www.sxc.hu/photo/839415 http://www.sxc.hu/photo/765550 http://www.sxc.hu/photo/590355 http://www.sxc.hu/photo/468027 http://www.sxc.hu/photo/761191 http://www.sxc.hu/photo/821903 http://www.sxc.hu/photo/1032278 http://www.sxc.hu/photo/182201 http://www.sxc.hu/photo/819168 http://www.sxc.hu/photo/866529 http://www.sxc.hu/photo/647502 http://www.sxc.hu/photo/428182 http://www.sxc.hu/photo/575060 http://www.sxc.hu/photo/970189 http://www.sxc.hu/photo/1080889 http://www.sxc.hu/photo/949308 http://www.sxc.hu/photo/228778 Neil Richards KM Consultant www.knowledgethoughts.com