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SUMMARY:IC Colloquium : Query Driven Crowd Mining
DTSTART:20140915T161500
DTEND:20140915T173000
DTSTAMP:20260408T055805Z
UID:1bece3bd08dce67f6c107a9c1fbda8a33296e28e49b0dd8e9da9cbf8
CATEGORIES:Conferences - Seminars
DESCRIPTION:By : Susan Davidson - University of PennsylvaniaVideo of her t
 alkAbstract :\nHarnessing the crowd to collect massive amounts of data (cr
 owdsourcing) has become increasingly popular. Examples in our culture incl
 ude Wikipedia\, social tagging systems for images\, traffic information ag
 gregators like Waze\, and hotel and movie ratings like TripAdvisor and IMD
 b.  In this talk\, I give an overview of the challenges inherent in provi
 ding declarative\, database-style platforms for supporting crowdsourcing.
   I then discuss how to go one step further and enable users to posed gen
 eral questions to mine the crowd for potentially relevant data\, and to re
 ceive concise\, relevant answers that represent frequent significant data 
 patterns.  I close by discussing the challenges that crowd mining poses f
 or provenance.Bio :\nSusan B. Davidson received the B.A. degree in Mathema
 tics from Cornell University in 1978\, and the M.A. and Ph.D. degrees in E
 lectrical Engineering and Computer Science from Princeton University.   
 Dr. Davidson joined the University of Pennsylvania in 1982\, and is now th
 e Weiss Professor of Computer and Information Science (CIS).  She is an A
 CM Fellow\, a Fulbright scholar\, and formerly served as  Department Chai
 r of CIS and Deputy Dean of the School of Engineering and Applied Science.
  She was also a founding co-Director of the Center for Bioinformatics at U
 Penn (PCBI).  The PCBI is a multi-school center spanning Medicine\, Engin
 eering and Applied Sciences\, and Arts and Sciences\, and is known for its
  pioneering work in database integration\, genomic schema development\, vi
 sualization tools\, and annotation systems.\nDr. Davidson's research inter
 ests include database and crowdsourced systems\, bioinformatics\, and scie
 ntific workflow systems.  Within bioinformatics she is best known for her
  work in data integration strategies\, with XML as a data exchange and int
 egration strategy\, and with provenance for scientific workflows.More info
 rmation
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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