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Programming Biomedical Smart Space Applications with BioImageXD and PythonRules

Natalia Díaz Rodríguez, Pasi Kankaanpää, M Mohsin Saleemi, Johan Lilius, Ivan Porres, Programming Biomedical Smart Space Applications with BioImageXD and PythonRules. In: Adrian Paschke, Albert Burger, Paolo Romano, M. Scott Marshall, Andrea Splendiani (Eds.), 4th International Workshop on Semantic Web Applications and Tools for the Life Sciences (SWAT4LS 2011), 10–11, ACM, 2011.

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 a-daptable and scalable ontology-based development of Smart Space applications.

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BibTeX entry:

@INPROCEEDINGS{inpD,
  title = {Programming Biomedical Smart Space Applications with BioImageXD and PythonRules},
  booktitle = {4th International Workshop on Semantic Web Applications and Tools for the Life Sciences (SWAT4LS 2011)},
  author = {Díaz Rodríguez, Natalia and Kankaanpää, Pasi and Saleemi, M Mohsin and Lilius, Johan and Porres, Ivan},
  editor = {Paschke, Adrian and Burger, Albert and Romano, Paolo and Marshall, M. Scott and Splendiani, Andrea},
  publisher = {ACM},
  pages = {10–11},
  year = {2011},
}

Belongs to TUCS Research Unit(s): Embedded Systems Laboratory (ESLAB), Software Engineering Laboratory (SE Lab)

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