Data Integration Systems for Scientific Applications
The integration of data stemming from heterogeneous sources is an issue that challenges computer science research since years – not to say decades. Therefore, many methods, frameworks and tools were and are still being developed that all promise to solve the integration of data. This work describes those which we think are most promising by relating them to each other. Since our focus is on scientific applications, we consider important properties within this domain such as data provenance. However, aspects like the extensibility of an approach are also considered.
|Conference:||3rd International Workshop on Ambient Data Integration (ADI 2010), October 25-29, 2010, Crete, Greece|