| Jim Gray Public LectureThe World-Wide Telescope as a Prototype for the New Computational Science |
| Date: | 4 July 3:00PM - 5:00PM , 2003 |
| Venue: | Lecture Theatre, Swann Building, King's Buildings, University of Edinburgh, Scotland |
| Organiser: | Malcolm Atkinson (National e-Science Centre) |
A live webcast of the lecture will be available from 2:55PM onwards. You will require Real Video G2 to view the live stream. It is advisable to use a broadband connection. The link will appear below and on our front page at 2:55PM on the 4th July 2003.
Computational science has historically meant simulation; but, there is an increasing role for analysis and mining of online scientific data. As a case in point, half of the world's astronomy data is public.
The astronomy community is putting all that data on the Internet so that the Internet becomes the world's best telescope: it has the whole sky, in many bands, and in detail as good as the best 2-year-old telescopes. It is useable by all astronomers everywhere. This is the vision of the virtual observatory -- also called the World Wide Telescope (WWT). As one step along that path I have been working with the Sloan Digital Sky Survey (especially Alex Szalay of Johns Hopkins) and CalTech to federate their data in web services on the Internet, and to make it easy to ask questions of the database (see http://skyserver.sdss.org). This talk explains the rationale for the WWT, discusses how we designed the database, and talks about some data mining tasks. It also describes scientific data, and argues that XML web services are key to federating diverse data sources.
Jim Gray is part of Microsoft's research group. His work focuses on databases and transaction processing. Jim is active in the research community, is an ACM, NAE, NAS, and AAAS Fellow, and received the ACM Turing Award for his work on transaction processing. He edits of a book series on data management, and is active in building online databases like http://terraService.Net/ and http://skyserver.sdss.org. Jim's homepage is http://research.microsoft.com/~Gray/
If you would like to attend, please apply for this event using the link below:
On-line Application: Please click HEREEnquiries should be made directly to our Conference Administrator.
Please note that this event is being held in the Swann building at Kings Buildings, University of Edinburgh and not at the e-Science Institute. Parking is not available on campus without a permit. Some of the side roads between Kings Buildings and Cameron Toll may be suitable for parking.