Event Archives : 2006 - InfoLab Workshop

Bio:
Utkarsh Srivastava is a Computer Science Ph.D. candidate in theInfoLab at Stanford University, currently leading the Web Service Management System (WSMS) project. He also contributed to the StanfordData Stream project during his graduate work. He holds a B.Tech. in Computer Science from IIT Kanpur and is a recipient of a Stanford Graduate Fellowship and a Microsoft Graduate Fellowship.

Joint work with Pavel Berkhin and Jan Pedersen from Yahoo! and Hector Garcia-Molina from Stanford.

Bio:
Zoltan Gyongyi is a PhD candidate in Computer Science at Stanford University. His primary research interest is web search. Recently he has been working on improving the relevance of search results by combating various types of web spam.

Bio:
Jennifer Widom is a Professor in the Computer Science and Electrical Engineering Departments at Stanford University. She received her Bachelors degree from the Indiana University School of Music in 1982 and her Computer Science Ph.D. from Cornell University in 1987. She was a Research Staff Member at the IBM Almaden Research Center before joining the Stanford faculty in 1993. Her research interests span many aspects of nontraditional data management. She is an ACM Fellow and a member of the National Academy of Engineering, was a Guggenheim Fellow, and has served on a variety of program committees, advisory boards, and editorial boards.

Our approach treats the functions for comparing and merging records as black-boxes, which permits generic, extensible ER solutions. This talk will give an overview of our generic framework for ER, and show how simple properties satisfied by the black-box functions enable efficient and deterministic ER algorithms. I will also sketch extensions of our framework to handle numerical confidences associated with the records, and to reduce the cost of ER by parallelizing the computation across multiple processors.

Bio:
Omar Benjelloun is currently a postdoc in the Stanford InfoLab, working hard on tough data management questions such as: "Where does uncertainty come from?" (TRIO project) or: "Are we who the data says we are?" (SERF project). Omar did his PhD in Computer science at INRIA, France, developing Active XML, a framework for distributed data management based on XML and Web Services. Previously, he worked as a software developer, for the Klee Group, a french "E-business solutions provider", for INRIA, and for the French Navy (because he had to). He also holds an engineering degree in telecommunications from Telecom Paris (ENST).

Bio:
Dr. Andreas Paepcke is a Senior Research Scientist and director of the Digital Library and BioACT Projects at Stanford University. His interests include user interfaces for small devices, novel Web search facilities, and browsing facilities for digital artifacts that are difficult to index. With his group of students he has designed and implemented WebBase, an experimental storage and high speed dissemination system for Web contents. His work on small devices has focused on novel methods for summarizing and transforming Web pages, and on browsing images on small displays. Dr. Paepcke has served on numerous program committees, including a position as Vice Program Chair, heading the World-Wide Web Conference's 'Browsers and User Interfaces' program track. He was a member on several National Science Foundation proposal evaluation panels. Dr. Paepcke received BS and MS degrees in applied mathematics from Harvard University, and a Ph.D. in Computer Science from the University of Karlsruhe, Germany. Previously, he worked as a researcher at Hewlett-Packard Laboratory, and as a research consultant at Xerox PARC.

Bio:
Jeff Klingner is a Ph.D. candidate in the Stanford Graphics Lab working with Pat Hanrahan. His work focuses on the interactive analysis and visualization of large graphs. He has been awarded the Stanford Graduate Fellowship and the National Science Foundation Graduate Research Fellowship.