Ontology-driven information system and management of heterogeneous research data
Petr Včelák, Michal Kratochvíl, Jana Klečková · 2014
We adopt an ontology-driven information system design for research purposes. It is adaptable and extensible solution in the situation where the main features are the lack of a stable data model and changing and varying requests. We use ontology-driven design primarily as a collaboration tool for the research. Members directly collaborate and use this information system to ease them tasks with management of source/raw data, software applications and research results for its whole life-time. A different heterogeneous data kinds and a large volume data sets could be stored and shared together with its description meta data between research teams and its members in an uniform manner. It leads to an opportunity to process a stored data using proper methods and tools in a parallel and distributed computing environment. All achieved results are automatically stored and supplemented by an ontology-driven description meta data.