1. @ How the Semantic Web is Being Used: An Analysis of FOAF Documents Li Ding, Lina Zhou, Tim Finin, Anupam Joshi eBiquity Lab, Department of CSEE University of Maryland Baltimore County

2. @ Outline Introduction  The six popular ontologies  FOAF vocabulary  Why FOAF Building FOAF Document collection  FOAF Document Identification  FOAF Document Discovery  Popular Properties of foaf:Person Applications  Personal Information Fusion  Social Network Analysis

3. @ The Six Most Popular Ontologies RDF DC RSS FOAF RDFS MCVB The statistics is generated by http://swoogle.umbc.edu

4. FOAF vocabulary (http://xmlns.com/foaf/0.1/) @

5. @ Why FOAF Information Creators  Community membership management  Unique Person Identification (privacy preserved)  Indicating Authorship Information Consumers  Provenance tracking  Social networking Expose community information to new comers Match interests  Trust building block

6. @ 1.D is an RDF document. 2.D uses FOAF namespace 3.The RDF graph serialized by D contains the sub-graph below 4.D defined one and only one master Person 1.D is an RDF document. 2.D uses FOAF namespace 3.The RDF graph serialized by D contains the sub-graph below 4.D defined one and only one master Person Identify a FOAF document D is a generic FOAF document when 1,2,3 met D is a strict FOAF document when 1,2,3,4 met X foaf:Person Z foaf:Y rdf:type

7. @ FOAF document Discovery Bootstrap: using web search engine (Got 10,000 docs) Discovery: using rdfs:seeAlso semantics (Got 1.5M docs) Top 7 FOAF websites

8. @ Popular properties of foaf:Person (1/2) non-blog (26,936) liveJournal.com (20,298,073) DS-FOAF-SMALL * (33,790) 1foaf:mbox_sha1sum (0.84)foaf:mbox_sha1sum (1.0)foaf:name(0.80) 2foaf:homepage (0.66 )dc:description(1.0)foaf:mbox_sha1sum(0.71) 3foaf:name (0.64)dc:title (1.0)foaf:nick (0.51) 4foaf:nick (0.61)foaf:nick (1.0)foaf:homepage (0.40) 5foaf:weblog (0.60)foaf:page (1.0)foaf:depiction (0.35) 6foaf:knows (0.44)foaf:weblog (0.99)foaf:weblog (0.30) 7foaf:mbox (0.38)rdfs:seeAlso (0.85)foaf:knows (0.28) 8foaf:img (0.38)foaf:knows (0.85)foaf:surname (0.27) 9bio:olb (0.35)foaf:dateOfBirth (0.71)foaf:firstName (0.26) 10rdfs:seeAlso (0.34) foaf:interest (0.67)rdfs:seeAlso (0.26) 11foaf:mbox (0.26) *DS-FOAF-SMALL is a newly dataset in Oct 2004, based on 7276 evenly sampled documents. Top 10 popular properties (per document)

9. @ Popular properties of foaf:Person (2/2) non-blog (26,936) liveJournal.com (20,298,073) DS-FOAF-SMALL * (33,790) 1 foaf:name (0.84)dc:title (1.74)foaf:name(0.69) 2 foaf:knows (0.79)foaf:interest (1.68)foaf:mbox_sha1sum(0.65) 3 foaf:homepage (0.63)foaf:nick (1.04)rdfs:seeAlso (0.39) 4 foaf:mbox_sha1sum (0.51)foaf:weblog (1.00)foaf:nick (0.26) 5 rdfs:seeAlso (0.40)rdfs:seeAlso (0.99)foaf:homepage (0.18) 6 dc:title (0.31)foaf:knows (0.95)foaf:mbox (0.15) 7 foaf:nick (0.22)foaf:page (0.95)foaf:weblog (0.15) 8 foaf:weblog (0.18)dc:description (0.046)foaf:firstName (0.11) 9 foaf:mbox (0.15)foaf:mbox_sha1sum (0.046)foaf:surname (0.11) 10 daml:equivalentTo (0.13)foaf:dateOfBirth (0.046)foaf:depiction (0.10) 11 foaf:knows (0.07) Top 10 popular properties (per instance) *DS-FOAF-SMALL is a newly dataset in Oct 2004, based on 7276 evenly sampled documents.

10. @ Collecting Personal Information http:www.cs.umbc.edu/~dingli1/foaf.rdf http://www-2.cs.cmu.edu/People/fgandon/foaf.rdf

11. @ Caution: Collision? Mistake! http://www.mindswap.org/~katz/2002/11/jordan.foaf http://www.ilrt.bris.ac.uk/people/cmdjb/webwho.xrdf caution

12. @ SNA1: Instances of foaf:Person per doc Zipf’s distribution Sloppy tail: few person directory documents contains thousands of instances Cumulative distribution

13. @ SNA2: Instances of foaf:Person per group Zipf’s distribution Sloppy tail: some instances are wrongly fused due to incorrect FOAF documents Cumulative distribution A group refers to a fused person

14. @ SNA3: In-degree of group Zipf’s Distribution Sharp tail: few FOAF documents have large in- degrees Cumulative distribution

15. @ SNA4: Out-degree of group Zipf’s distribution Sloppy tail: few person directory documents Cumulative distribution

16. @ SNA5: Patterns of FOAF Network Four types of group  Isolated  Only in only one inlink (97%)  Only out  Both (intermediate) Basic Patterns:  Singleton: (isolated)  Star: (only out) an active person publishes friends  Clique: a small group

17. @ SNA6: Size of components Zipf’s distribution Sloppy head: singleton Sloppy tail: blog websites (e.g. www.livejournal.com) Cumulative distribution

18. @ SNA7: Growth of FOAF network 1 2 3

19. @ The Map of FOAF network (Jun,2004) www.livejournal.com www.ecademy.com Blog.livedoor.jp non-blog

20. @ Questions? Demo: http://apple.cs.umbc.edu/semdishttp://apple.cs.umbc.edu/semdis Swoogle: http://swoogle.umbc.eduhttp://swoogle.umbc.edu eBiquity group: http://ebiquity.umbc.eduhttp://ebiquity.umbc.edu