Data Description and Archives for Scientific Research in the Future

The following embodies the conclusion of the Conference Proposal for IS&T Archiving 2006

The growing amount of data and access to digital source material will make enquiries for scientific research more difficult: The more heterogeneous data and different data description are present and used, the bigger and the more complex the amount of data to be handled gets. To get advantage of the growing amount and access to data, researchers need support from intelligent software agents, which can deduce contexts from different source materials. Therefore digital information objects should be described by and integrated into ontologies. Existing Metadata-standards do not meet these demands only providing a machine-readable structure of information objects but not their underlying semantics.

New results of the project Distarnet will be presented in the following Conference Proposal for IS&T Archiving 2006

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