Abstract
In biomedical sciences new and increasingly complex technologies are constantly being introduced, and to facilitate new scientific discoveries they need to be able to adapt to current demands and provide seamless functionality. However, the interoperability of devices, tools and data is not always simple, and is often a bottleneck in bioimaging. Tools that ease the integration of diverse technologies could amplify functionality and performance considerably. BioImageXD software is presented as a use case. We propose a semantic-based approach and PythonRules to increase programming productivity in heterogeneous spaces through adaptable and scalable ontology-based development of Smart Space applications.
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