discus
DESCRIPTION
Pathway to SEASR Workshop in March 2009 in North CarolinaTRANSCRIPT
![Page 1: Discus](https://reader033.vdocuments.mx/reader033/viewer/2022051108/54671234af7959df038b4a6b/html5/thumbnails/1.jpg)
the DISCUS project & SEASR
Xavier Llorà1,2, David E. Goldberg1 & Michael Welge2
1Illinois Genetic Algorithms Lab, Department of Industrial and Enterprise Systems Engineering,!University of Illinois at Urbana-Champaign!
2Data-Intensive Technologies and Applications, National Center for Supercomputing Applications, !University of Illinois at Urbana-Champaign!
![Page 2: Discus](https://reader033.vdocuments.mx/reader033/viewer/2022051108/54671234af7959df038b4a6b/html5/thumbnails/2.jpg)
The Vision
• Computers have become mediators of collaborations
– Email, chat rooms, blogs, wikis…
– A flood of available information
– Different modes of communication
• Let’s take advantage of such information
– Logs of conversations
– Archive of documents (email attachments, blogs, personal web pages…)
– Human-computer interactions
– Social aspect of the communication and collaboration
– Needs to work for multiple languages
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theDISCUSproject(May2007) XavierLlorà 3
The Project
• DISCUS started in 2003 as an IlliGAL & NCSA collaboration
• Supports innovation and creativity:
DISCUS: Distributed Innovation and Scalable Collaboration in Uncertain Settings
• Basic research components
– Competent genetic algorithms (HBGA, iGA)
– Advance chance discovery components
– Adapt and expand the analysis of social interaction
– Efficient data mining techniques for conversations
– Develop a social network analysis for creativity and innovation processes
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theDISCUSproject(May2007) XavierLlorà 4
The Project
• Technology development
– Infrastructure to support creativity and innovation processes
– Reusable repositories of analytic components
– Standardize heterogeneous data storage to boost interoperability
– Create hooks for non-intrusive usage and deployment
– Rapid adaptation cycle to new technologies
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Research and Commercial Partners
• Some research partners along the "way
– University of Illinois (IlliGAL, NCSA & CEE)
– University of Osaka
– University of Tokyo (School of Management, "School of Engineering)
– University of Kyushu
• Commercial partner
– Hakuhodo Inc and HOW
– Mazda
– Toyota
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theDISCUSproject(May2007) XavierLlorà 6
The Research Picture
Content
Social aspects
Analysis
Social networks
Data mining
Knowledge management
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DISCUS in Action
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theDISCUSproject(May2007) XavierLlorà 8
Online Communities
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theDISCUSproject(May2007) XavierLlorà 9
Online Communities
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theDISCUSproject(May2007) XavierLlorà 10
Content Analysis
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theDISCUSproject(May2007) XavierLlorà 11
Social Network Analysis
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theDISCUSproject(May2007) XavierLlorà 12
Topic Overlap
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theDISCUSproject(May2007) XavierLlorà 13
Topic Dynamics
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CSPAN
• CSPAN digital library
– Videos
– Transcripts
– Annotations
• Example of real-time analysis
• Crawling and results
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Some Facts
• Number of document: 110,234
• Number of persons: 78,915
• Number of total sentences: 252,132
• Number of total word: 2,034,209
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Documents per Year
1940 1960 1980 2000
15
10
50
10
05
00
50
00
Year
Nu
mb
er
of
do
cu
me
nts
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Words per Year
1940 1960 1980 2000
1e
+0
11
e+
02
1e
+0
31
e+
04
1e
+0
5
Year
Nu
mb
er
of
wo
rds
![Page 18: Discus](https://reader033.vdocuments.mx/reader033/viewer/2022051108/54671234af7959df038b4a6b/html5/thumbnails/18.jpg)
the DISCUS project & SEASR
Xavier Llorà1,2, David E. Goldberg1 & Michael Welge2
1Illinois Genetic Algorithms Lab, Department of Industrial and Enterprise Systems Engineering,!University of Illinois at Urbana-Champaign!
2Data-Intensive Technologies and Applications, National Center for Supercomputing Applications, !University of Illinois at Urbana-Champaign!