Houda Khrouf , Ghislain Atemezing, Giuseppe Rizzo, Raphaël Troncy and Thomas Steiner
Aggregating Social Media for Enhancing
Conference Experiences
Real-Time Analysis and Mining of Social Streams, 2012, Dublin, Ireland
What happened in ICWSM-12?
How to get a summary?
• Spread Information
• Keyword Search
• Short life of some media (e.g. tweets)
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Overview
Create a real-time environment to browse conferences as well as their various representative media items: images, micro-posts, slides, videos, etc.
Best Concept award in the "Linked Data-a-Thon" challenge of ISWC 2011.
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“Confomaton”Semantic Web Application
Confomaton architecture
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Media Collector (Node.js)
Event Collector(RSS, dumps)
Real-time Reconciliation
Based onTag + Named-Entity
Data Modellin
g
Linked Data
API
User Interface
Media Collector
Runs on the top of Node.js
Collects media items and stories via search input
terms using the social media search API (Flickr,
Twitter, Slideshare, etc.)
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Event Collector
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http://lanyrd.com/conferences/
Lanyrd providing RSS feeds of about 250 conferences per month
Semantic Web Dog Food providing RDF fine-grained descriptions of conferences:
• Sub-events (tutorials, talks, sessions, etc.)• Papers that were presented• People who attended and the organizations they come from.
Data Modelling for Events
LODE Ontology
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http://linkedevents.org/ontology/
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conf:iswc2011
ma:Image
flickr: 6279009
lode:illustrate
rdf:type
http://farm7.static.flickr.com/6115%2F6279003399_678b6e6e74_
b.jpg
ma:locator
http://www.flickr.com/
people/7844118@N08
sioc:hasCreator
tweet:129568
slide:627900339
sioc:Post
rdf:type
sioc:content
#Confomaton wins the best effort at #ISWC2011
http://www.twitter.com/
gatemezing
sioc:hasCreator
sioc:Item
rdf:type
Sioc:attachement
http://www.slideshare.net/
OlafGoerlitz/splendid-9858478
http://www.slideshare.net/
OlafGoerlitz
sioc:hasCreator
lode:illustrate
Data Modelling for Media
Real-Time Reconciliation
Tag-based Mapping + Filtering by time
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Real-Time Reconciliation
If there is no tag?
Named-Entity based Mapping
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Peter Mika: RDF indexing via MapReduce, triples are grouped into documents by subjects #iswc2011
The paper in which the description encapsulates these named-entities
The related event
Precision = 61%
Statistics
Conferences and their sub-events
Media Items
Semantic Web Dog Food 173 4 187
Lanyrd 1 270 572 204
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And more statistics?
Conference Place Media Items
PAX East 2012 Boston 9961
SXSW Interactive 2012 Austin 9528
Hollywood spicy United States 8133
NAB Las Vegas 6831
ASTD International Conference and Exposition Denver 5962Top-five documented conferences
Technology
RDF Storage:Backed up by Virtuoso (RDF triple store)
SPARQL endpoint:http://eventmedia.eurecom.fr/sparql
LDA: Linked Data APIA set of REST methods to publish the data stored
in the RDF storage behind
User Interface:HTML + CSS + Javascript
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Demos
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http://eventmedia.eurecom.fr/confomaton
Conferences
Media
http://eventmedia.eurecom.fr/iswc2011
Lessons Learned
Easy integration of existing technologies
Limitation of some services: e.g: max 500
requests/day for some API
User Interface: important BUT time consuming
Not easy to create and manage the “all in one”
interface
How to ensure an effective navigation of a large
space of interconnected resources
A lot of effort from Semantic Web community04/08/2023 RAMSS'2012, Dublin, Ireland 15
Future Work
Integrate the other media services and media items
Enrich events descriptions with further information
Refine the reconciliation algorithm
Improve the performance of the user interface.
Data exploration: sentiment analysis, ranking, etc.
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Thank You!
http://www.slideshare.net/khrouf
E-mail: [email protected]
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