1 / 4

Lowell Gong Show

Lowell Gong Show. Phil Bernstein. 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

glennis
Download Presentation

Lowell Gong Show

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  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

More Related