08.06.09 | alper ortac | computer science department | ubiquitous knowledge processing lab | ©...
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08.06.09 | Alper Ortac | Computer Science Department | Ubiquitous Knowledge Processing Lab | © Prof. Dr. Iryna Gurevych | 1
Knowledge Management in Web 2.0
Communities: FacebookFacebook
Alper Ortac
08.06.09 | Alper Ortac | Computer Science Department | Ubiquitous Knowledge Processing Lab | © Prof. Dr. Iryna Gurevych | 2
Agenda
What is Facebook?
Available data
Accessing data
Creating knowledge
Comparison with competitors
Outlook
08.06.09 | Alper Ortac | Computer Science Department | Ubiquitous Knowledge Processing Lab | © Prof. Dr. Iryna Gurevych | 3
What is Facebook?
Social Network which connects people Create own profile to present yourself Share texts and media with others Add other people as friends Join groups and networks
„Pages“ for institutions, companies and celebrities
Access from mobile devices Marketplace Applications from third-party
contributors
08.06.09 | Alper Ortac | Computer Science Department | Ubiquitous Knowledge Processing Lab | © Prof. Dr. Iryna Gurevych | 4
What is Facebook?
08.06.09 | Alper Ortac | Computer Science Department | Ubiquitous Knowledge Processing Lab | © Prof. Dr. Iryna Gurevych | 5
A brief history of Facebook
Founded 2004 by Mark Zuckerberg for students in Havard Later for all students in USA and
then for all high schools 2006: students in other countries 2008: available in germany
Initial financial help about 340 million dollars 1 month ago russian company
„Digital Sky Technologies“ invested 200 milion dollars
Now more than 850 employees Estimated market value between
2 an 15 billion dollars
08.06.09 | Alper Ortac | Computer Science Department | Ubiquitous Knowledge Processing Lab | © Prof. Dr. Iryna Gurevych | 6
Current Facebook facts
Over 200 million registered users 100 million of them are active every day 30 million new images every day
57 languages, 40+ more are in development
Alexa rank: 4 Fifth of all internet users visit
Facebook every day
25 minutes per day per user 3,5 billion minutes in sum
08.06.09 | Alper Ortac | Computer Science Department | Ubiquitous Knowledge Processing Lab | © Prof. Dr. Iryna Gurevych | 7
Agenda
What is Facebook?
Available data
Accessing data
Creating knowledge
Comparison with competitors
Outlook
08.06.09 | Alper Ortac | Computer Science Department | Ubiquitous Knowledge Processing Lab | © Prof. Dr. Iryna Gurevych | 8
Available data
Personal (or company) data Connections to friends, collegues
and family members (or fans) Groups, Networks, Interests Thumb ups
Structured:
Media: photos, videos (partially) Albums Marking of people
Application output (mostly)
08.06.09 | Alper Ortac | Computer Science Department | Ubiquitous Knowledge Processing Lab | © Prof. Dr. Iryna Gurevych | 9
Available data
Texts of different kinds Messages, Blogs, Chats Comments
Links to external data Integration of other Web 2.0 sites
Flickr, Digg, Last.fm and others
Unstructured:
08.06.09 | Alper Ortac | Computer Science Department | Ubiquitous Knowledge Processing Lab | © Prof. Dr. Iryna Gurevych | 10
Agenda
What is Facebook?
Available data
Accessing data
Creating knowledge
Comparison with competitors
Outlook
08.06.09 | Alper Ortac | Computer Science Department | Ubiquitous Knowledge Processing Lab | © Prof. Dr. Iryna Gurevych | 11
Accessing data
Mobile devices 30 million active users
Facebook Platform Third-party applications
which can be embedded in user profiles
More than 600.000 developers
Facebook Connect Like OpenID, one single
Login for all supporting websites
About 8000 websites
08.06.09 | Alper Ortac | Computer Science Department | Ubiquitous Knowledge Processing Lab | © Prof. Dr. Iryna Gurevych | 12
Agenda
What is Facebook?
Available data
Accessing data
Creating knowledge
Comparison with competitors
Outlook
08.06.09 | Alper Ortac | Computer Science Department | Ubiquitous Knowledge Processing Lab | © Prof. Dr. Iryna Gurevych | 13
Creating knowledge: current uses
Advertisement in Facebook Growth over profit Great database of personal data
For companies: Facebook Ads Create ads for their services Payment with CPC or CPM
(each click or 1000 views) Live statistics for analyzing their
target audience
Facebook Lexicon Analyzes public written words Find points of interest in specific
target groups Associations to other subjects
08.06.09 | Alper Ortac | Computer Science Department | Ubiquitous Knowledge Processing Lab | © Prof. Dr. Iryna Gurevych | 14
Lexicon (1)
Demographics Small choice of
words CSV Export
08.06.09 | Alper Ortac | Computer Science Department | Ubiquitous Knowledge Processing Lab | © Prof. Dr. Iryna Gurevych | 15
Lexicon (2)
Shows demographics on country maps
USA, GB and Canada
08.06.09 | Alper Ortac | Computer Science Department | Ubiquitous Knowledge Processing Lab | © Prof. Dr. Iryna Gurevych | 16
Creating knowledge: usage possibilities
Ethnography Research of social behaviour and language characteristics
Opinions Demographics about countless topics Developing opinion states over time
Face recognition Marked pictures help to recognize specific people
Difficulties because of private concept Facebook itself has huge knowledge base (potentially)
Very few „facts“
08.06.09 | Alper Ortac | Computer Science Department | Ubiquitous Knowledge Processing Lab | © Prof. Dr. Iryna Gurevych | 17
Agenda
What is Facebook?
Available data
Accessing data
Creating knowledge
Comparison with competitors
Outlook
08.06.09 | Alper Ortac | Computer Science Department | Ubiquitous Knowledge Processing Lab | © Prof. Dr. Iryna Gurevych | 18
Comparison with competitors
Hi5, Friendster, Orkut Similar approach, but smaller
MySpace Also big, but focus on
musicians
LinkedIn, Xing Focus on business world
StudiVZ, Wer-kennt-wen German copies
Many others, but there is no „real“ competition
08.06.09 | Alper Ortac | Computer Science Department | Ubiquitous Knowledge Processing Lab | © Prof. Dr. Iryna Gurevych | 19
Agenda
What is Facebook?
Available data
Accessing data
Creating knowledge
Comparison with competitors
Outlook
08.06.09 | Alper Ortac | Computer Science Department | Ubiquitous Knowledge Processing Lab | © Prof. Dr. Iryna Gurevych | 20
Outlook
More growth Facebook will try to expand its target audience
More structured data Important for the growing user database
In the future there will be a big focus on advertisement Current experiments with different ad models
Integration with other websites Use of (web) standards Competition will be hard to find