Sentence examples for data integration knowledge from inspiring English sources

The solution enables application domain experts to provide an ontology with semantic data integration knowledge, which is next combined with data source knowledge during the evaluation of global SOS GetObservation requests.

Finally, the design of the framework is based on the well-known Mediator/Wrapper architecture and follows a Local As View data integration approach, which simplifies the incorporation of new datasets without having to change the existing data integration knowledge.

The semantic web technology provides several unique benefits for data integration and knowledge inferences.

When independent applications share this representation of the reality, interoperability and effective data integration across knowledge domains are achieved.

We foresee two possible future scenarios: in the first one developers of novel data-type resources, learning from previous experiences, will join efforts to consolidate data and create standards at earlier stages; in the second one we will accept redundant overlaps and solve them with data integration and knowledge management approaches.

An essential feature of these databases is the continuing data integration as new knowledge is discovered.

Comprehensive evaluation of postgenomic data asks for user-oriented databases supporting data management and data integration into existing knowledge.

In turn, these developers can facilitate scientific knowledge modeling, logical-based hypothesis checking, semantic data integration, application composition, and integrated knowledge discovery and data analysis for different scientific domains - systems that can be used by scientists, students, and, ever increasingly, non-experts.

Finally, data integration can lead to knowledge discovery by enabling the exploration of a potentially unlimited set of resources covering different knowledge domains, from which new associations can be discovered and previously hypothesized associations can be validated.

The semantic web and its resources play a fundamental role in data integration, data interoperability and knowledge discovery.

This project is aimed at creating a technological infrastructure with data integration capabilities for advanced knowledge discovery in clinical trials in cancer.