DATA-GRID
Analysis / Modeling Applications
Analysis/modeling applications fall roughly into two categories:
- those attempting to deduce meaningful structure from probabilistic statistical data, and
- those attempting to draw actionable conclusions from such data.
Click on any of the vertical markets to the left to see a list of analysis/modeling applications in that market segment, plus a matrix of which features of this new generation of data management are of most importance to each application.
We have culled out four features of DBMS 3.0™ to highlight:
- direct support for high-level object semantics (S)
- support for probabilistic data (P)
- support for long-running analysis/modeling applications (A)
- support for class-specific representations (R)
We have used a 'Consumer-Reports' style presentation to indicate which features of the DBMS are of most importance to each application: S|P|A|R
As you review the applications you will note that for many applications it is the semantic support that is key. For other applications it is a combination of analysis and probabilistic data. For still others it may be the combination of analysis and class-specific representations.
- Oil/Gas Exploration: subsurface modeling — cggg
- Oil/Gas Operations: well logging — cggc
- Oil/Gas: demand/supply modeling — cggc
- Nuclear Plants: NDE testing — cggg
- Wind: NDE testing on turbines — cggg
- Power Distribution: modeling/monitoring networks — gggc
- VLSI Design — gcgg
- Mechanical CAD — gcgg
- Aerospace Vehicle Design — gcgg
- Finite Element Modeling — gcgg
- Fluid Dynamics — gggg
- DHS: Counter-Terrorism
- Semantic integration of intelligence databases — gggc
- Scanning email; extracting meaning — gcgc
- Bayesean probability networks: who is the terrorist? — gggc
- DoD
- Mission planning — ggcc
- Real-time mission control — ggcc
- Logistics — gcgc
- EPA: Semantic markup of required filing documents — gccg
- FDA: Semantic markup of clinical trials documents — gccg
- SEC: Semantic markup of 10Ks, ... — gccg
- NIH
- Informatics for cancer research ('caBIG' program) — gggc
- Informatics for 'Translational Medicine' — gggc
- Location/Position Ontologies — gccc
- Internet-Based Mapping — gccg
- Mobile Location-Based Services — gccc
- Sensor Networks — gggc
- Satellite Images — gggg
- Semantic Overlays: roads, pipelines, power-lines — gccg
- Stationary Object Recognition — gggc
- Moving Object (target) Recognition— gggc
- Mapping for Agriculture
- Mapping for Environmental Management
- Mapping for Transportation
- Mapping for ...
- Medical Imaging — gggg
- Clinical Diagnostics — gggg
- Electronic Patient Medical Records — gcgg
- 'Translational Medicine' — ggcg
- Personalized Medicine — ggcg
- Ontologies for Supply Chain Management — ggcc
- Scheduling — ggcc
- 3D Product Modeling — ccgg
- Manufacturing Process Modeling/Monitoring — gggc
- Internet Media: — cggc
- Music databases
- Film databases
- Pornography databases
- Personal photo/video media management
- RSS Feeds — gccg
- News Footage — gccg
- Sports Events — gccg
- Film Production/Distribution: — gccg
- Digital transmission/assembly of dailies
- DBMS substrate for non-linear editors
- 'Digital Back Lot'
- Special effects production
- Digital film distribution to theatres
- Rights management
- Release planning/tracking
- Physics — gggg
- Astronomy — gggg
- Weather Models — gggg
- Ocean Current/Temperature Models — gggg
- Global Warming — gggg
- 'Smart Search' from Mobile Phones — gccc
- Location-Based Information — gccg
- Airline Maintenance Databases — gcgc
- Schedule Optimization — gggc
- Ticket Pricing — cggc
- Route/Plane/Crew/... Planning — gcgc
- Container Tracking — ccgc
- Traffic Flow: sensor networks to monitor/adapt — gcgc
