Phil Bernstein - Microsoft Research
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Transcript Phil Bernstein - Microsoft Research
Lowell Gong Show
Phil Bernstein
May 2, 2003
Phil Bernstein
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Drivers of Research Topics
1.
Exploit Improved System Technology
networks (dist’d DB), WWW (data integration),
disks (VLDBs), sensors (streaming queries)
2. New Ideas for Classical DB Technologies
access methods, query optimiz’n, auto-admin, metadata
3. Grand Challenges
Info Utility (Asilomar’98), Jim Gray’s list, CRA GC Conf
no medical errors (Lomet), no auto fatalities (Lampson)
4. Combine DB & Non-DB technology
natural language, rules, data mining, XML
5. Applications
May 2, 2003
engineering, multimedia, bio-medical informatics
Phil Bernstein
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Knowledge-Based Systems that Work
► Move
from data mgmt to knowledge mgmt
A useful way to soak up desktop cycles
A big functionality improvement over DBMSs
► More
logical inferencing
Theorem proving, fuzzy inferencing, model checking
Integrated with query processing and IR
► Richer
knowledge representation
And much larger knowledge bases
► Engineer
the combination of AI + DB
Robust systems with predictable capability
► Applications
– scientific investigation,
engineering design, medical diagnosis
May 2, 2003
Phil Bernstein
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Experiment Management Systems
► Data
mgmt for experimental investigation
Rapid evolution of system under test, schemas,
analysis scripts, workflow
Comprehensive versioning (types, schemas, data)
Heavy use of rich data types
Heavy use of data mining
Integration with portal management
► Applications
Science – especially bio-medical
Engineering – benchmarking, process engineering
May 2, 2003
Phil Bernstein
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