Model Construction and Evolution

Event mining on products of workflow
- identify change
- Compound events (temporal aggregation)
- Patterns matched across event space
- Distinguish events in “information system” versus workflow events
Development and management of probabilistic Models
- contents of information sources
- queries and relationships between quieries
- modeling predictive power of information and attributes
Maintaining a materialized view
- Know how accurate view is over time
Model of Information System
- Active Intelligent wrappers
  - workflow awareness
  - resource awareness
  - priority awareness
- Support capability dissemination
  - data + software + workflow
- Background building of better models
  - zero latency versus background learning (e.g. sleep)
- Scalable formalisms for probabilistic models
  - control and workflow