The document discusses analyzing social awareness streams (SAS) to extract knowledge and emerging ontological structures. It proposes developing a SAS analyzer system to study what knowledge can be acquired from SAS using controlled experiments. Preliminary experiments aim to observe if semantics emerge from different types of SAS aggregations. Initial results indicate hashtag streams are more robust than user list streams and network transformations reveal latent conceptual structures.

3. 31 May 2010 What‘s the knowledge of SAS? Users Web Resources Real-World Happenings Natural Language Constructs http://www.flickr.com/photos/matthewfield/2306001896/ What‘s the knowledge of SAS? Users Web Resources Natural Language Constructs Real-World Happenings http://www.flickr.com/photos/waldoj/722508166/

6. SAS Analyzer 31 May 2010

7. Controlled Experiments (1) 31 May 2010 Do ontological structures emerge from SAS? ground truth ontology randomly sample Input labels Compare (e.g., via Precision, Recall, RLA [Maedche et al, 2000] )

8. Controlled Experiments (2) 31 May 2010 Which factors influence emerging semantics? vary variables Compare (e.g., via Precision, Recall, RLA [Maedche et al, 2000] ) ground truth ontology randomly sample Input labels

11. Example 31 May 2010

12. Structural Stream Measures (1) 31 May 2010

16. Network Transformations 31 May 2010 co-occurence context [ Harris , 1954] [Mika, 2007] communities

21. Thank you! 31 May 2010 http://clauwa.info/me [email_address] http://twitter.com/clauwa