Semantic interoperability of distributed electronic health record (EHR) systems is a crucial
problem for querying EHR and machine learning projects. The main contribution of this …

An organisation wishing to conduct data analytics to support day-to-day decision making
often needs a system to help analysts represent and maintain knowledge about research …

Electronic Health Records (EHRs) aggregate the entire patient's data from different systems.
Achieving interoperability for distributed EHR systems is expected to improve patient safety …

1Information Systems Dept., Faculty of Computers and Information, Mansoura University,
Egypt 2Information Systems Dept., Faculty of Computers and Informatics, Benha University …

Data farming is a scientific methodology, which heavily depends on technical advances in
high throughput computing to generate large amounts of data with computer simulation to …

In recent years, distributed environments such as grids and clouds have evolved quickly and
become widely used for both business and scientific purposes. Grid environments are used …

There is an increasing interest to transform and integrate data obtained from variety of
sources in the health care domain. This transformation and integration is particularly …

In this paper, we present a toolkit named FiVO/QStorMan for supporting data-intensive
applications in distributed environments with storage-related Quality of Service provisioning …

In this paper we present a semantic-based approach for supporting dataintensive
applications in distributed environments. The approach is characterized by usage of explicit …

Ontologies have traditionally been used to represent knowledge of a specific domain. They
are also used to provide a base to infer the knowledge present inside them. However, the …