On Matching Web-scale Entity Graphs

Speaker:        Dr. Seung-won HWANG
                Pohang University of Science and Technology (POSTECH)
                Korea

Title:          "On Matching Web-scale Entity Graphs"

Date:           Tuesday, 17 January 2012

Time:           11:00am - 12 noon

Venue:          Room 3416 (via lifts 17/18), HKUST

Abstract:

This talk introduces the problem of matching web-scale entity graphs, such
as multilingual name graphs and social network graphs, to solve difficult
problems such as name translation or social id finding. While existing
approaches focus on using textual (or phonetic) similarity or Web
co-occurrences, this approach combines the strength of the two and
significantly outperforms the state-of-the-arts. We present our evaluation
results using real-life entity graphs. This is joint work with MSRA.

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Biography:

Seung-won HWANG is an associate professor of Computer Science and
Engineering at Pohang University of Science and Technology (POSTECH),
Korea. Prior to joining POSTECH, she received her Ph.D. in computer
science from University of Illinois at Urbana-Champaign. Her research lies
in web-scale data management, published in major international journals
and conferences, including ACM TODS, IEEE TKDE, SIGMOD, VLDB, SIGKDD, and
ICDE.