The document discusses how Web 2.0 technologies like tagging and folksonomies can impact enterprise search. It notes that tagging allows for serendipitous discovery, connects people with shared interests, and helps navigate large amounts of information. Applying these techniques within companies can help employees find expertise, resources, and build connections by seeing what content others are bookmarking. Proper implementation requires enough participation to generate useful metadata through the "wisdom of the crowds."

1. What does Web 2.0 mean for Enterprise Search? Michael Sampson Collaboration Success Advisors, Ltd. www.collaborationsuccess.com

3. Just a normal day at the office? challenge 1 information tsunami too much stuff

4. “ I put it somewhere safe, but now I can’t find it” challenge 2 information retrieval re-findability

5. power of folksonomy = serendipity 1

6. either / or it’s not 2

7. certain effective usage requires a employee count 3

9. Why? (1) why? Dead category vs. live tag

10. (1) why? classification distinguish organize sort comparative meaning what is it?

11. Applying meta-data to an object for the purposes of classification (2) tagging tags

13. power of folksonomy = serendipity 1

16. Cogenz: “Locate employees with shared interests or expertise in a specific area” (2) tagging

17. 7 Pillars of IT-Enabled Team Productivity Shared Access to Team Data Location Independent Access Auto- Discovery Enterprise Action Mgmt Social Engagement Tools Team-aware Calendaring Shared Real-Time Viewing (2) tagging

18. Eg, subscribe to an expert’s tag stream (2) tagging

19. Eg, see related items of interest after a search for a tag (2) tagging

20. Taxonomy vs. Folksonomy nomy taxo folkso classification people management (3) ’nomy

21. Taxonomy vs. Folksonomy (3) ’nomy Personal vocabulary Defined vocabulary Expansive Restrictive Discovery Navigation Good enough Accurate Just do it Process to add new Meaning to the reader Meaning per the author Bottom-up Top-down Democratic creation Central control

22. Architecture diagram … tag store doc doc doc www (3) ’nomy tag1, tag2 tag3, tag4 tag1, tag4 distributed storage tag4 put tags get tags

24. either / or it’s not 2

25. (3) ’nomy taxonomy known corpus objectively right or wrong accuracy vital folksonomy emergent corpus subjective interpretation serendipity cool

28. Applying the Long Tail to Enterprise Search (5) application condition 1 target need set business need condition 2 enough people critical mass

30. certain effective usage requires a employee count 3

31. Applying the August 2006 Digg Statistics to an Enterprise … Digg (Aug06) Registered Users Contributed 100% Contributed 55% Contributed 10% 445,000 2,287 (0.51%) 100 (0.02%) 10 (0.002%) IBM: 315,000 employees … 100% = 16,065 people "The interesting thing about social bookmarking and Dogear is that there are 300,000 people in IBM. If only 20,000 create bookmarks , the other 280,000 will benefit because the wisdom of those 20,000 will be used in the enterprise search engine.” David Millen, IBM Research http://searchcio.techtarget.com/originalContent/0,289142,sid19_gci1195182,00.html (5) application SMB 50 50 0.26 0.01 0.001 SMB 500 500 2.6 0.1 0.01

34. Discussion Michael Sampson, [email_address] Principal Advisor, Collaboration Success Advisors, Ltd. www.collaborationsuccess.com www.michaelsampson.net (happy to discuss further after my session; I’m here until 6pm) please clarify how about what if