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Large, Distributed & Diverse Data Sets – Earth Observation Application

Talk, was published by David Damen at 2011-01-24

We demonstrate how users can access such data using terms he is familiar with.

Easily identifying and accessing the information needed in large, distributed and diverse multimedia data sets is a well known challenge. An example of that, which is discussed in this presentation, is accessing Earth Observation (EO) products (satellite images). Such distributed data sets provide different interfaces, and require the use of complicated terminology to identify the satellite, the sensor, etc. We demonstrate how users can access such data using terms he is familiar with.

Authors

David Damen

No contact information available. 

Daviddamen

David is involved in TopiEngi.

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As a former information scientist, I am fascinated since 1999 by the capabilities for building Topic Maps-based knowledge systems having the potential to augment human mind. One can model arbitrary knowledge organization systems, deal with semantic heterogeneity, collocate all facts about one subject in one logical place, and with TMQL have semantic retrieval on federated semantic networks. Therefore I expect bright prospects for business concepts building on the exchange of such knowledge snippets via semantic knowledge services.

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