http://www.fc.ul.pt/cikm2007ACM Sixteenth Conference on Information and Knowledge Management (CIKM 2007)pt-ptMário J. SilvaPedro FernandesFri, 27 Apr 2007 19:30:34 GMTFri, 27 Apr 2007 19:33:22 GMThttp://www.fc.ul.pt/cikm2007/Keynote-Speakers.html#keynote-prabhakarWeb Search: From Information Retrieval to Microeconomic Modeling - In scarcely a decade, web search has gone from simply scaling traditional information retrieval, to a groundswell of new opportunities that are changing marketing as we know it. In this lecture we begin by reviewing this progress, pointing out that web search is no longer a purely computer science problem. We then hint at the role of other disciplines in this ongoing revolution and a number of directions for research. Prabhakar Raghavan has been Head of Yahoo! Research since July 2005. His research interests include text and web mining, and algorithm design. He is a Consulting Professor of Computer Science at Stanford University and Editor-in-Chief of the Journal of the ACM. Raghavan received his PhD from Berkeley and is a Fellow of the ACM and of the IEEE. Prior to joining Yahoo, he was Senior Vice-President and Chief Technology Officer at Verity; before that he held a number of technical and managerial positions at IBM Research. {6fada6fb-40fa-53b1-92b9-8e9dd42d69d4}Wed, 25 Apr 2007 01:28:53 GMThttp://www.fc.ul.pt/cikm2007/Keynote-Speakers.html#keynote-suciuManagement of Data with Uncertainties - Many applications today need to manage large volumes of uncertain data, such as fuzzy object matchings, uncertain schema mappings, data extracted by IE systems, exploratory queries in databases, RFID and sensor data. I this talk I will discuss probabilistic databases as a unified framework for managing large volumes of uncertain data. The central problem in probabilistic databases is the query evaluation problem, which is a particular instance of probabilistic inference. I will describe a general approach to evaluating SQL queries over large probabilistic databases that reuses much of the existing query processing and query optimization infrastructure. Then I will discuss future research directions in management of probabilistic data. Dan Suciu is a professor at the University of Washington. He received his Ph.D. from the University of Pennsylvania in 1995, then was a principal member of the technical staff at AT&T Labs until he joined the University of Washington in 2000. Suciu is conducting research in data management, with an emphasis on topics that arise from sharing data on the Internet, such as management of semistructured and heterogeneous data, data security, and managing data with uncertainties. He is a co-author of the book Data on the Web: from Relations to Semistructured Data and XML, holds six US patents, received the 2000 ACM SIGMOD Best Paper Award, is a recipient of the NSF Career Award and of an Alfred P. Sloan Fellowship. {37aecf6-b1f9-5d1f-c764-9a60d01a2566}Fri, 27 Apr 2007 19:33:02 GMThttp://www.fc.ul.pt/cikm2007/Keynote-Speakers.html#keynote-pereiraFernando Pereira was born and raised around Lisbon , Portugal. He started college studying electrical engineering but majored in mathematics. While in college, he worked part-time for a architectural CAD project at LNEC, a government engineering laboratory. After graduating, he stayed at LNEC for two years as a systems programmer and administrator, but got also involved in urban traffic modeling, artificial intelligence and logic programming. In 1977 he took a scholarship from the British Council to study artificial intelligence at the University of Edinburgh. There he worked on natural-language understanding and logic programming, and for a while again in architectural CAD. He was involved in creating the first Prolog compiler (for the PDP-10), and he also wrote the first widely-used Prolog interpreter for 32-bit Unix machines. He graduated in 1982 and joined the Artificial Intelligence Center of SRI International in Menlo Park, CA, where he worked on logic programming, natural-language understanding and later on speech-understanding systems. During 1987-88, he headed SRI's Cambridge, England, research center. He joined AT&T in the summer of 1989, were worked on speech recognition, speech retrieval, probabilistic language models, and several other topics. From 1994 to 2000, he headed the Machine Learning and Information Retrieval department of AT&T Labs -- Research. He spent the 2000-2001 academic year as a research scientist at WhizBang! Labs, where he developed finite-state models and algorithms for information extraction from the Web. He has been at Penn since 2001. {235386d7-42ee-ce9e-56b-def7e6d36d5d}Fri, 27 Apr 2007 19:33:22 GMThttp://www.fc.ul.pt/cikm2007/Keynote-Speakers.htmlThe CIKM 2007 web site now has a page with informartion about the keynotes.{72e44b1-b381-6113-2f7e-70a7adeed63}Fri, 27 Apr 2007 19:25:04 GMT