Keeping Up With Social Tagging

Slide 1: Keeping Up With Social Tagging Thomas Vander Wal Presented to: ExpertInnenworkshop "Social Tagging in der Wissensorganisation – Perspektiven und Potenziale" Video Presentation: Tübingen :: 21 January 2008

Slide 2: Where We Came From InfoCloud Solutions, Inc. - 2008

Slide 3: Different Perspectives of Tagging InfoCloud Solutions, Inc. - 2008

Slide 4: Faces of Perception

Slide 5: Personal

Slide 6: Collective

Slide 7: Collaborative

Slide 8: Newbie

Slide 9: Service Owner

Slide 10: External Developer

Slide 11: Depth of Perception

Slide 12: Non-user

Slide 13: Non-contributing Collective User

Slide 14: Non-contributing Selective User

Slide 15: Light Contributing User

Slide 16: Heavy Contributing User

Slide 17: Matrix of Perceptions

Slide 19: Tagging Things

Slide 20: Media

Slide 21: People

Slide 22: Events

Slide 23: Commercial Phonebook

Slide 24: del.icio.us versus Ma.gnolia

Slide 25: Tag Delimiters

Slide 26: Sociality

Slide 27: Sociality

Slide 28: Sociality

Slide 29: Approaching Real Relationships Share Share Listen Public Private Friend A X X Friend B X X X Friend C X X Acquaintance A X X Acquaintance B X

Slide 30: Elements Missing

Slide 31: Clipping

Slide 32: Clipping

Slide 33: Clipping

Slide 34: Map to Taxonomy

Slide 35: Hold on to Expert

Slide 36: Portability

Slide 37: Inside Enterprise

Slide 38: Connecting Distant People

Slide 39: Culture vs. Social

Slide 40: Pain Points

Slide 41: Privacy

Slide 42: Managers

Slide 43: Transparency

Slide 44: Scaling

Slide 45: One of Two Things Happens...

Slide 46: Does Not Meet Expectations

Slide 47: or...

Slide 48: “Good, Great, Fantastic, to OMG we have too much information”

Slide 49: Adjust Expectations

Slide 50: Understand Derived Value

Slide 51: Who gets value?

Slide 52: Person

Slide 53: Refinding

Slide 54: Service Owner

Slide 55: Saved cost

Slide 56: Improved taxonomy

Slide 57: Improved SEO

Slide 58: Too Much Information: Needs an Information Flood Role

Slide 59: Taxonomy

Slide 60: Data Mining

Slide 61: Analytics

Slide 62: Visualization

Slide 63: We have come so far...

Slide 64: But still have so much work to do!

Slide 65: Danke! InfoCloud Solutions, Inc. - 2008

Slide 66: URL: http://infocloudsolutions.com E-mail: thomas@infocloudsolutions.com E-mail: thomas@vanderwal.net AIM: vanderwal Skype: tjvanderwal InfoCloud Solutions, Inc. - 2008