题目: On Matching Web-scale Entity Graphs
报告人：Prof. Seung-won Hwang (POSTECH, Korea)
时间：12月15日（周四）下午3:30
地点：信息楼417

Abastract
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.

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.