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APWEB/WAIM 2007



SIGMOD Keynotes and Speakers

Keynote 1: Model Management 2.0: Manipulating Richer Mappings
Philip A. Bernstein (Microsoft Research)

ABSTRACT

Model management is a generic approach to solving problems of data programmability where precisely engineered mappings are required. Applications include data warehousing, e-commerce, object-to-relational wrappers, enterprise information integration, database portals, and report generators. The goal is to develop a model management engine that can support tools for all of these applications. The engine supports operations to match schemas, compose mappings, diff schemas, merge schemas, translate schemas into different data models, and generate data transformations from mappings.


Much has been learned about model management since it was proposed seven years ago. This leads us to a revised vision that differs from the original in two main respects: the operations must handle more expressive mappings, and the runtime that executes mappings should be added as an important model management component. We review what has been learned from recent experience, explain the revised model management vision based on that experience, and identify the research problems that the revised vision opens up.

BIOGRAPHY

Philip A. Bernstein is a Principal Researcher at Microsoft Research and an Affiliate Professor at the University of Washington. Previously he has worked as a researcher and executive consultant at Digital Equipment Corp., as a vice president at Sequoia Systems, and as a professor at Harvard University and at Wang Institute of Graduate Studies. In his early career, he primarily worked on database theory, query optimization and transaction processing and has co-authored two books on the latter topic. He won the ACM SIGMOD Innovations Award in 1994 for that work. Since then, he has focused on meta data management -- mechanisms to manipulate schemas and mappings for data integration. Dr. Bernstein is an ACM Fellow and a member of the U.S. National Academy of Engineering. He is on the boards of many journals, is Treasurer and member of the Board of Directors of the Computing Research Association, and is a member of the National Academy Board on Mathematical Sciences and Applications. He holds a B.S. from Cornell University and Ph.D. from University of Toronto.

Keynote 2: Making Database Systems Usable
H. V. Jagadish (University of Michigan)

ABSTRACT

Database researchers have striven to improve the capability of a database in terms of both performance and functionality. We assert that the *usability* of a database is as important as its capability. In this paper, we study why database systems today are so difficult to use. We identify a set of five pain points and propose a research agenda to address these. In particular, we introduce a presentation data model and recommend direct data manipulation with a schema later approach.

BIOGRAPHY

H. V. Jagadish is a Professor of Computer Science and Engineering at the University of Michigan in Ann Arbor. After earning his PhD from Stanford in 1985, he spent over a decade at AT&T Bell Laboratories in Murray Hill, N.J., eventually becoming head of AT&T Labs database research department at the Shannon Laboratory in Florham Park, N.J. He has also served as a professor at the University of Illinois in Urbana-Champaign and as a Visiting Professor at the National University of Singapore.


Professor Jagadish is well-known for his broad-ranging research on information management, and has over 150 major papers and 33 patents. He is a fellow of the ACM and a trustee of the VLDB. Among many professional positions he has held, he has previously been an Associate Editor for the ACM Transactions on Database Systems (1992-1995), Program Chair of the ACM SIGMOD annual conference (1996), and Program Chair of the ISMB conference (2005).

Keynote 3: DB & IR: Both Sides Now
Gerhard Weikum (Max-Planck Institute for Informatics in Saarbruecken, Germany)

ABSTRACT

It is by historical accident that database systems (DB) and information retrieval (IR) have evolved into two separate scientific fields and have developed quite disparate paradigms for information management. Now, modern applications, such as digital libraries, customer support, health-care, or Internet community management, require combined DB&IR functionality and call for more intensive efforts towards DB&IR integration in terms of methodology and tools. A prominent research area that has been pursuing this goal is XML IR with ranked retrieval on non-schematic document collections. Considering also links within and across documents, this direction evolves into expressive forms of graph IR with challenging issues regarding ranking semantics and computational efficiency.
At the same time, Web search is gaining structure and context awareness and more semantic flavor, for example, in the forms of faceted search, vertical search, entity search, and Deep-Web search. I envision another big leap forward by automatically harvesting and organizing knowledge from the Web, represented in terms of explicit entities and relations as well as ontological concepts. This will be made possible by the confluence of several strong trends: large-scale information extraction from high-quality text sources such as Wikipedia, social tagging in the spirit of Web 2.0, and rich Semantic-Web-style knowledge repositories like ontologies and taxonomies. Connecting these different kinds of implicit and explicit knowledge sources opens up great opportunities for large-scale knowledge search and poses a strong case for an integrated DB&IR methodology.

BIOGRAPHY

Gerhard Weikum is a Scientific Director at the Max-Planck Institute for Informatics in Saarbruecken, Germany, where he is leading the research group on databases and information systems. Earlier he held positions at Saarland University in Germany, ETH Zurich in Switzerland, MCC in Austin, Texas, and he was a visiting senior researcher at Microsoft Research in Redmond, Washington. His recent working areas include distributed information systems such as peer-to-peer systems, and intelligent search and organization of semi-structured data on the Web and in digital libraries.


Dr. Weikum has received several best paper awards including the VLDB 2002 ten-year award, and he is an ACM Fellow. He has served on the editorial boards of various journals and book series, including ACM TODS, IEEE CS TKDE, and the Springer LNCS series, and as program committee chair for international conferences like ICDE 2000, ACM SIGMOD 2004, and CIDR 2007. He is currently the president of the VLDB Endowment.



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