The Introduction of Folksonomies in Government Institutions GovCamp Brussels – 21 September 2006 Céline Van Damme [email_a...
Structure of the talk <ul><li>Folksonomies on the WWW </li></ul><ul><li>Folksonomies in enterprises </li></ul><ul><li>Folk...
Structure of the talk <ul><li>Folksonomies on the WWW </li></ul><ul><li>Folksonomies in enterprises </li></ul><ul><li>Folk...
Folksonomies on the WWW(1) <ul><li>New trend on WWW </li></ul><ul><li>Users are creating metadata by adding tags to conten...
Folksonomies on the WWW(2) <ul><li>Very popular:retrieving content in an easy way </li></ul><ul><li>New York Times Magazin...
Structure of the talk <ul><li>Folksonomies on the WWW </li></ul><ul><li>Folksonomies in enterprises </li></ul><ul><li>Folk...
Folksonomies in enterprises <ul><li>Example: IBM </li></ul><ul><li>Gartner predicts: “ Corporate Intelligence will become ...
Structure of the talk <ul><li>Folksonomies on the WWW </li></ul><ul><li>Folksonomies in enterprises </li></ul><ul><li>Folk...
Folksonomies in Government Institutions <ul><li>Retrieving Content </li></ul><ul><li>Finding Experts </li></ul><ul><li>Doc...
Folksonomies in Government Institutions <ul><li>Retrieving Content </li></ul><ul><li>Finding Experts </li></ul><ul><li>Doc...
Retrieving Content A. Intranet Internet Technology: WWW Intranet Infoglut Increasing # of web pages Social software Electr...
Folksonomies in Government Institutions <ul><li>Retrieving Content </li></ul><ul><li>Finding Experts </li></ul><ul><li>Doc...
Finding Experts (1) <ul><li>Implicit Tagging </li></ul><ul><li>Based on tagging activity of content </li></ul><ul><li>Tags...
Finding Experts (2) <ul><li>Advantages </li></ul><ul><li>Government institutions employ many people    impossible to know...
Folksonomies in Government Institutions <ul><li>Retrieving Content </li></ul><ul><li>Finding Experts </li></ul><ul><li>Doc...
Document Recommendation <ul><li>Tags are a good reflection of knowledge and interests </li></ul><ul><li>Experts are readin...
Folksonomies in Government Institutions <ul><li>Retrieving Content </li></ul><ul><li>Finding Experts </li></ul><ul><li>Doc...
Improving or creating Taxonomy/Ontology <ul><li>Folksonomies   </li></ul><ul><li>S = direct reflection user’s vocabulary <...
References <ul><li>Van Damme, Céline. Folksonomies and Enterprise Folksonomies. Vrije Universiteit Brussel. (2006)  </li><...
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Tagging in government institutions

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Tagging in government institutions

  1. 1. The Introduction of Folksonomies in Government Institutions GovCamp Brussels – 21 September 2006 Céline Van Damme [email_address]
  2. 2. Structure of the talk <ul><li>Folksonomies on the WWW </li></ul><ul><li>Folksonomies in enterprises </li></ul><ul><li>Folksonomies in Government Institutions </li></ul>
  3. 3. Structure of the talk <ul><li>Folksonomies on the WWW </li></ul><ul><li>Folksonomies in enterprises </li></ul><ul><li>Folksonomies in Government Institutions </li></ul>
  4. 4. Folksonomies on the WWW(1) <ul><li>New trend on WWW </li></ul><ul><li>Users are creating metadata by adding tags to content </li></ul><ul><li>Consolidation leads to a bottom-up taxonomy = folksonomy </li></ul><ul><li>Examples: Delicious (bookmarks), Flickr (Photos) </li></ul>
  5. 5. Folksonomies on the WWW(2) <ul><li>Very popular:retrieving content in an easy way </li></ul><ul><li>New York Times Magazine mentioned folksonomies as one of 2005’s best ideas </li></ul><ul><li>Semantic web development </li></ul>
  6. 6. Structure of the talk <ul><li>Folksonomies on the WWW </li></ul><ul><li>Folksonomies in enterprises </li></ul><ul><li>Folksonomies in Government Institutions </li></ul>
  7. 7. Folksonomies in enterprises <ul><li>Example: IBM </li></ul><ul><li>Gartner predicts: “ Corporate Intelligence will become one of the emergent technologies in the next 5 or 10 years which will have a transformational impact on business ” </li></ul><ul><li>Why not introducing it in government institutions? </li></ul>
  8. 8. Structure of the talk <ul><li>Folksonomies on the WWW </li></ul><ul><li>Folksonomies in enterprises </li></ul><ul><li>Folksonomies in Government Institutions </li></ul>
  9. 9. Folksonomies in Government Institutions <ul><li>Retrieving Content </li></ul><ul><li>Finding Experts </li></ul><ul><li>Document Recommendation </li></ul><ul><li>Improving or creating Taxonomy/Ontology </li></ul>
  10. 10. Folksonomies in Government Institutions <ul><li>Retrieving Content </li></ul><ul><li>Finding Experts </li></ul><ul><li>Document Recommendation </li></ul><ul><li>Improving or creating Taxonomy/Ontology </li></ul>
  11. 11. Retrieving Content A. Intranet Internet Technology: WWW Intranet Infoglut Increasing # of web pages Social software Electronic Documents (Pdf, doc etc) Folksonomies Semantic Web B. Other: CMS, DB with unstructured information
  12. 12. Folksonomies in Government Institutions <ul><li>Retrieving Content </li></ul><ul><li>Finding Experts </li></ul><ul><li>Document Recommendation </li></ul><ul><li>Improving or creating Taxonomy/Ontology </li></ul>
  13. 13. Finding Experts (1) <ul><li>Implicit Tagging </li></ul><ul><li>Based on tagging activity of content </li></ul><ul><li>Tags are a reflection of knowledge </li></ul><ul><li>Explicit Tagging </li></ul><ul><li>Let people tag their colleagues (e.g. when receiving an e-mail) </li></ul><ul><li>Weights: reciprocity </li></ul><ul><li>Implicit + Explicit Tagging </li></ul><ul><li>Let people tag content + colleagues  match </li></ul>
  14. 14. Finding Experts (2) <ul><li>Advantages </li></ul><ul><li>Government institutions employ many people  impossible to know everybody </li></ul><ul><li>Setting up a meeting </li></ul><ul><li>Setting up a community </li></ul><ul><li>E-mails </li></ul>
  15. 15. Folksonomies in Government Institutions <ul><li>Retrieving Content </li></ul><ul><li>Finding Experts </li></ul><ul><li>Document Recommendation </li></ul><ul><li>Improving or creating Taxonomy/Ontology </li></ul>
  16. 16. Document Recommendation <ul><li>Tags are a good reflection of knowledge and interests </li></ul><ul><li>Experts are reading high quality documents </li></ul><ul><li>Experts are good at describing documents with concepts </li></ul><ul><li> Push/Pull Recommendation </li></ul>
  17. 17. Folksonomies in Government Institutions <ul><li>Retrieving Content </li></ul><ul><li>Finding Experts </li></ul><ul><li>Document Recommendation </li></ul><ul><li>Improving or creating Taxonomy/Ontology </li></ul>
  18. 18. Improving or creating Taxonomy/Ontology <ul><li>Folksonomies </li></ul><ul><li>S = direct reflection user’s vocabulary </li></ul><ul><li>W = no synonym control </li></ul><ul><li>Taxonomy/ontology </li></ul><ul><li>S = controlled vocabulary/concepts </li></ul><ul><li>W =time consuming + expensive </li></ul><ul><li> Opportunity = offset the weaknesses of formal semantics (ontology) with the strengths of informal semantics (folksonomy) and vice versa </li></ul>
  19. 19. References <ul><li>Van Damme, Céline. Folksonomies and Enterprise Folksonomies. Vrije Universiteit Brussel. (2006) </li></ul><ul><li>Harris Wu, Mohammed Zubair, Kurt Maly. Harvesting social knowledge from folksonomies. Proceedings of the seventh conference on Hypertext and Hypermedia HYPERTEXT ’06 (August 2006). pp 111-114. </li></ul><ul><li>Farrell Stephen, Lau Tessa. Fringe Contacts: People-tagging for the enterprise. WWW2006 (May 2006). </li></ul><ul><li>URL: http://www.rawsugar.com/www2006/25.pdf#search=%22Fringe%20Contacts%3A%20People-tagging%20for%20the%20enterprise%22 </li></ul><ul><li>John Ajita, Seligmann Dorée. Collaborative tagging and expertise in the enterprise. WWW2006 (May 2006). URL: http://www.rawsugar.com/www2006/26.pdf#search=%22Collaborative%20tagging%20and%20expertise%20in%20the%20enterprise%20%22 </li></ul><ul><li>Gartner Research Group (2006) Gartner's 2006 Emerging Technologies Hype Cycle Highlights Key Technology Themes. URL: http://www.gartner.com/it/page.jsp?id=495475 </li></ul>

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