Live Social Semantics @ ISWC2009

Live Social Semantics

Martin SzomszorUniversity of Southampton

A novel application that integrates data from the semantic web, online social

networks, and a real-world face-to-face contact sensing platform.

Outline

• History– Where Live Social Semantics came from

• LSS Architecture– Tracking Face-to-Face Contacts– Integrating and Managing Data– Building Profiles of Interest

• Video Demonstration• LSS at ESWC2009• Future Work


• History– Dagstuhl Seminar on Social Web Communities

(Sept 2008)

Sociopatterns.org

http://www.sciencegallery.com/infectious

This projects aims to shed light on patterns in social dynamics and coordinated human activity. We do so by developing and deploying an experimental social interaction sensing platform. This platform consists of portable sensing device and software tools for aggregating, analyzing and visualizing the resulting data.

http://arxiv.org/abs/0811.4170

Southampton

• Automatic Generation of Profiles of Interest using Cross-Folksonomy Data

[2] Szomszor, M., Alani, H., Cantador, I., O'Hara, K. and Shadbolt, N. (2008) Semantic Modelling of User Interests based on Cross-Folksonomy Analysis. In: 7th International Semantic Web Conference (ISWC), October 26th - 30th, Karlsruhe, Germany.

ISI (Turin) Meeting March 2009

LSS – Proposed Features• Contact Histories– “Hey, I remember talking to this person, but I don’t

know their name / email / institution”• People you might know – “Who are the people in my social networks /

community of practice who are also attending the conference? What papers are they presenting”

• Profiles of Interest– “I’d like to expose the things that I’m interested in

to other participants, including extra-academic data”

Features NOT Required• We are not concerned with tracking an

individual’s exact location. The focus of LSS is to log social interactions (face-to-face contact)

• We don’t want to track people outside the conference area

Participation• Participation is voluntary• Association of your RFID badge to your real

identity is voluntary– You can participate using only an anonymous id

LSS Stack


Web2.0 Linked DataDelicious

Real World

semanticweb.org

acm, dblp, citeseer …

rkbexplorer.com

Active RFID Contact Tracking

Local Server

ESWC2009 Map

Active RFID Proximity Detection

• spatial resolution ~ 1 meter• anisotropy - face-to-face• temporal resolution ~ 5-20 seconds• unobtrusive• scalable– low cost (~15 Euro per badge – reusable)– easily deployable– distributed

RDF Representation of Contact Data

http://tagora.ecs.soton.ac.uk/LiveSocialSemantics/eswc2009/1410

http://tagora.ecs.soton.ac.uk/LiveSocialSemantics/eswc2009/contact/day3/1410/1515


hasPhysicalContact

"2009-06-03"^^<http://www.w3.org/2001/XMLSchema#date>

"00:01:43"^^<http://www.w3.org/2001/XMLSchema#time>

contactWith

contactDate

contactDuration

Social Semantics

ArchitectureW

eb B

ased

Sys

tem

sRe

al W

orld

4store

ExtractorDaemon

Delicious

Flickr

Lastfm

Facebook Connect API

RKBExplorer.com

data.semanticweb.org

ProfileBuilder

dbtune.org

dbpedia.org

TAGora SenseRepository

COP + Publications

Publications

Social TaggingSocial Networks

Contacts

mbid - > dbpedia uritag -> dbpedia uri

Loca

l Ser

ver

Aggr

egat

or

RDF

Cach

eRFID Readers

RFID Badges

Real World Contact Data

ConsumesTagging Data

Returns Profileof Interests

How are you connected?

Delicious

Folksonomies, The Semantic Web, and Movie Recommendation


www.tagora-project.eu

Publications

Projects

CiroCattuto

MartinSzomszor

Distinct, Separated Identity Management

http://tagora.ecs.soton.ac.uk/delicious/martinszomszor

http://tagora.ecs.soton.ac.uk/flickr/7214044@N08@N08

http://tagora.ecs.soton.ac.uk/lastfm/count-bassy

http://tagora.ecs.soton.ac.uk/facebook/613077109

MartinSzomszor

http://data.semanticweb.org/person/martin-szomszor/

http://southampton.rkbexplorer.com/id/person-05877


http://tagora.ecs.soton.ac.uk/LiveSocialSemantics/eswc2009/foaf/1

Delicious Tagging and Network

Flickr Tagging and Contacts

Lastfm favourite artists and friends

Facebook contacts

RFID Contact Data

Conference Publication Data

Past Publications, Projects, Communities of Practice

Profiles of Interest

http://tagora.ecs.soton.ac.uk/LiveSocialSemantics/eswc2009/foaf/1

foaf:Person

http://tagora.ecs.soton.ac.uk/delicious/martinszomszor

foaf:Persontagging:Tagger

http://tagora.ecs.soton.ac.uk/delicious/tag/ontologymapping

tagging:UserTag

http://tagora.ecs.soton.ac.uk/tag/ontologymapping

tagging:GlobalTag

http://dbpedia.org/resource/Semantic_Integration

TAGora Sense Repository

tagging:UsesTag

owl:SameAs

tagging:hasGlobalTag

disam:hasPossibleSense

foaf:interest

Profile Building• 1) Disambiguate Tags– cosine similarity between user co-occurrence vector

and term frequency vector from concept– Choose Sense if above threshold (0.3) or single sense

• 2) Calculate Interest Weights– weight w = fr ur , where fr is the total frequency of ∗

all tags disambiguated to sense r, and ur is a a time decay factor. The factor ur = days(r)/90⌈ ⌉

• 3) Create Interest List– If more than 50 interests are suggested, we rank by

weight and suggest the top 50– Users must verify the list before it is published

Live Social Semantics Videohttp://vimeo.com/6590604

LSS @ ESWC2009

• 4 Days (1-4 June 2009)• >300 Attendees, 187 of which participated in the

experiment• Each participant was issued with a uniquely

number RFID badge• Users could register their badge number on a

website, and associate it to their name, institution, email, and social networking accounts

• Out of the 187 who collected a badge, 139 registered their account on the website

SNS Usage Statistics

ESWC 09total 187

registered 139 (74%)Flickr 52 (37%)

Delicious 59 (42%)Last.FM 57 (41%)Facebook 78 (56%)

Survey Results

Option Reason No. Users %

a don’t have those accounts (or rarely use them) 9 41%

b use different networking sites 4 18%

c don’t like to share them 2 9%

d didn’t get a chance to share them (e.g. no computer, slow internet)

6 27%

e other 1 5%

TOTAL 22 100%

After the conference, we emailed the users who did register on our site, but did not enter any social networking accounts. The aim was to understand the reasons why:

Future Work• Allow individuals to link to their own foaf

profiles• More SNS sites:– Twitter, LinkedIn, etc…

• Document and Advertise Linked Data Interface– Support other applications in exploiting the data

• Recommend Contacts– What features are most predictive of face-to-face

contact

Building Better Profiles

• What tags correspond to interests?– Locations and topics are useful, but other terms

are not• TF / IDF Approach– It’s not that useful to find out we are all interested

in RDF and the Semantic Web• Making use of the Category hierarchy– If I’m interested in Facebook, Flickr, Last.fm,

Delicious, etc, I can extrapolate the interest Online_Social_Networks

University of Southampton

Ciro Cattuto, Wouter Van den Broeck, Alain Barrat

Harith Alani, Martin Szomszor, Gianluca Correndo

Acknowledgements

Thanks for your attention

Presence of Attendees HT2009

Number of cliques HT2009

Technology

Live Social Semantics @ ISWC2009