Benefits
- Scalability of BEA AquaLogic® service infrastructure
- Semantic conflicts resolved within information layer
- Transparency through discoverable meaning
- Supports flexible user-driven ad hoc queries
- Supports blended solutions
Features of Release 2.6
- Extends BEA AquaLogic foundation
- Ontology unifies information
- Semantic data services
- Search and browse all federated data
- Semantic Web technologies and standards
ROI Projections *
| 20 – 90% |
Reductions in labor hours, development time & cost, operating cost |
| 20 – 80% |
Reduction in total cost of ownership |
| 2 – 50X |
Improvements in productivity, quality, service levels, return on assets |
| 3 – 12 |
Months to positive return on investment |
*TopQuadrant Special Report, Sept. 2004
Semantic Integration
Semantic integration takes a large number of disparate data sources in an enterprise and creates an ontology or model to assimilate the distributed information. Semantic integration uses software technology to represent knowledge, meaning, context and associations between information and applications. A semantic model makes the data integration smarter, so that both applications and the supporting enterprise information infrastructure become more scalable and maintainable. As a result, costs and resources are reduced for implementing existing and future applications.
Ontology concepts and relations are visually represented on the Wave View screen (below) along with federated instance data.
Wave Features and Benefits
