The Introduction of Folksonomies in Government Institutions GovCamp Brussels – 21 September 2006 Céline Van Damme [email_address]

Structure of the talk Folksonomies on the WWW Folksonomies in enterprises Folksonomies in Government Institutions

Folksonomies on the WWW

Folksonomies in enterprises

Folksonomies in Government Institutions

Structure of the talk Folksonomies on the WWW Folksonomies in enterprises Folksonomies in Government Institutions

Folksonomies on the WWW

Folksonomies in enterprises

Folksonomies in Government Institutions

Folksonomies on the WWW(1) New trend on WWW Users are creating metadata by adding tags to content Consolidation leads to a bottom-up taxonomy = folksonomy Examples: Delicious (bookmarks), Flickr (Photos)

New trend on WWW

Users are creating metadata by adding tags to content

Consolidation leads to a bottom-up taxonomy = folksonomy

Examples: Delicious (bookmarks), Flickr (Photos)

Folksonomies on the WWW(2) Very popular:retrieving content in an easy way New York Times Magazine mentioned folksonomies as one of 2005’s best ideas Semantic web development

Very popular:retrieving content in an easy way

New York Times Magazine mentioned folksonomies as one of 2005’s best ideas

Semantic web development

Structure of the talk Folksonomies on the WWW Folksonomies in enterprises Folksonomies in Government Institutions

Folksonomies on the WWW

Folksonomies in enterprises

Folksonomies in Government Institutions

Folksonomies in enterprises Example: IBM 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 ” Why not introducing it in government institutions?

Example: IBM

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 ”

Why not introducing it in government institutions?

Structure of the talk Folksonomies on the WWW Folksonomies in enterprises Folksonomies in Government Institutions

Folksonomies on the WWW

Folksonomies in enterprises

Folksonomies in Government Institutions

Folksonomies in Government Institutions Retrieving Content Finding Experts Document Recommendation Improving or creating Taxonomy/Ontology

Retrieving Content

Finding Experts

Document Recommendation

Improving or creating Taxonomy/Ontology

Folksonomies in Government Institutions Retrieving Content Finding Experts Document Recommendation Improving or creating Taxonomy/Ontology

Retrieving Content

Finding Experts

Document Recommendation

Improving or creating Taxonomy/Ontology

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

Folksonomies in Government Institutions Retrieving Content Finding Experts Document Recommendation Improving or creating Taxonomy/Ontology

Retrieving Content

Finding Experts

Document Recommendation

Improving or creating Taxonomy/Ontology

Finding Experts (1) Implicit Tagging Based on tagging activity of content Tags are a reflection of knowledge Explicit Tagging Let people tag their colleagues (e.g. when receiving an e-mail) Weights: reciprocity Implicit + Explicit Tagging Let people tag content + colleagues  match

Implicit Tagging

Based on tagging activity of content

Tags are a reflection of knowledge

Explicit Tagging

Let people tag their colleagues (e.g. when receiving an e-mail)

Weights: reciprocity

Implicit + Explicit Tagging

Let people tag content + colleagues  match

Finding Experts (2) Advantages Government institutions employ many people  impossible to know everybody Setting up a meeting Setting up a community E-mails

Advantages

Government institutions employ many people  impossible to know everybody

Setting up a meeting

Setting up a community

E-mails

Folksonomies in Government Institutions Retrieving Content Finding Experts Document Recommendation Improving or creating Taxonomy/Ontology

Retrieving Content

Finding Experts

Document Recommendation

Improving or creating Taxonomy/Ontology

Document Recommendation Tags are a good reflection of knowledge and interests Experts are reading high quality documents Experts are good at describing documents with concepts  Push/Pull Recommendation

Tags are a good reflection of knowledge and interests

Experts are reading high quality documents

Experts are good at describing documents with concepts

 Push/Pull Recommendation

Folksonomies in Government Institutions Retrieving Content Finding Experts Document Recommendation Improving or creating Taxonomy/Ontology

Retrieving Content

Finding Experts

Document Recommendation

Improving or creating Taxonomy/Ontology

Improving or creating Taxonomy/Ontology Folksonomies S = direct reflection user’s vocabulary W = no synonym control Taxonomy/ontology S = controlled vocabulary/concepts W =time consuming + expensive  Opportunity = offset the weaknesses of formal semantics (ontology) with the strengths of informal semantics (folksonomy) and vice versa

Folksonomies

S = direct reflection user’s vocabulary

W = no synonym control

Taxonomy/ontology

S = controlled vocabulary/concepts

W =time consuming + expensive

 Opportunity = offset the weaknesses of formal semantics (ontology) with the strengths of informal semantics (folksonomy) and vice versa

References Van Damme, Céline. Folksonomies and Enterprise Folksonomies. Vrije Universiteit Brussel. (2006) 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. Farrell Stephen, Lau Tessa. Fringe Contacts: People-tagging for the enterprise. WWW2006 (May 2006). URL: http://www.rawsugar.com/www2006/25.pdf#search=%22Fringe%20Contacts%3A%20People-tagging%20for%20the%20enterprise%22 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 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

Van Damme, Céline. Folksonomies and Enterprise Folksonomies. Vrije Universiteit Brussel. (2006)

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.

Farrell Stephen, Lau Tessa. Fringe Contacts: People-tagging for the enterprise. WWW2006 (May 2006).

URL: http://www.rawsugar.com/www2006/25.pdf#search=%22Fringe%20Contacts%3A%20People-tagging%20for%20the%20enterprise%22

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

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