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Lowell Gong Show

Explore cutting-edge research topics in database technology, including improved system technology, classical DB advancements, grand challenges, and integration of DB with non-DB tech. Dive into knowledge-based systems, experiment management systems, and their applications across various domains.

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Lowell Gong Show

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  1. Lowell Gong Show Phil Bernstein Phil Bernstein

  2. Drivers of Research Topics • Exploit Improved System Technology • networks (dist’d DB), WWW (data integration), disks (VLDBs), sensors (streaming queries) • New Ideas for Classical DB Technologies • access methods, query optimiz’n, auto-admin, metadata • Grand Challenges • Info Utility (Asilomar’98), Jim Gray’s list, CRA GC Conf no medical errors (Lomet), no auto fatalities (Lampson) • Combine DB & Non-DB technology • natural language, rules, data mining, XML • Applications • engineering, multimedia, bio-medical informatics Phil Bernstein

  3. 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 Phil Bernstein

  4. 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 Phil Bernstein

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