The mediator/wrapper approach is used to integrate data from different databases and other data sources by introducing a middleware virtual database that provides high level abstr...
The need for information integration is paramount in many biological disciplines, because of the large heterogeneity in both the types of data involved and in the diversity of app...
We present a framework for visualizing remote distributed data sources using a multi-user immersive virtual reality environment. DIVE-ON is a system prototype that consolidates dis...
The emergence of pervasive networked data sources, such as web services, sensors, and mobile devices, enables context-sensitive, mobile applications. We have developed a programmi...
Norman H. Cohen, Hui Lei, Paul Castro, John S. Dav...
—FLOSS distributions like RedHat and Ubuntu require a lot more complex infrastructures than most other FLOSS projects. In the case of community-driven distributions like Debian, ...
While the Internet has facilitated access to information sources, the task of scalable integration of these heterogeneous data sources remains a challenge. The adoption of the eXte...
Data warehouses (DWs) are complex computer systems whose main goal is to facilitate the decision making process of knowledge workers. ETL (Extraction-Transformation-Loading) proces...
The ‘theorise-inquire’ technique is described, which supports the testing of both experts’ hunches and the quality of data sources. This technique is useful for the identifi...
To integrate many data sources we use a peer mediator framework where views defined in the peers are logically composed in terms of each other. A common approach to execute queri...
At a fundamental level, the key challenge in data integration is to reconcile the semantics of disparate data sets, each expressed with a different database structure. I argue th...