- /publications/large_distributed_diverse_data_sets
Large, Distributed & Diverse Data Sets – Earth Observation Application
Talk, was published by David Damen at 2011-01-24
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
Presented at
Practical Semantics - Seminar in Leipzig
Meeting in Leipzig at {{start}}
Practical Semantics - Solutions for Security, Intelligence, Science, Government and Business Advantage Who should attend? Department and team …
Visit homepage of Practical Semantics ...
Topic Maps is the only formal semantic model which is optimized for humans, not for computers. Applications and web portals based on Topic Maps are easy to use, without limitations for flexibility and creativity.
Ruby Topic Maps