Semantic Integration for Model-based Life Science Applications

Tomasz Gubała, Katarzyna Prymula, Piotr Nowakowski, Marian Bubak


When delivering tools and solutions for modern e-Science applications, the proper transfer of domain knowledge into information models is a crucial design step. In this work we describe the Semantic Integration approach to modeling and transcribing complex science domain knowledge into well-structured information models based on semantics. Apart from a conceptual study and presentation of related work, we also describe how we applied the methodology to deliver a real-life solution for simulation of locations of active binding sites in proteins – an important problem in bioinformatics. Our goal is to show how the Semantic Integration technology can help deliver ready-to-use solutions for scientists.


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Paper Citation

in Harvard Style

Gubała T., Prymula K., Nowakowski P. and Bubak M. (2013). Semantic Integration for Model-based Life Science Applications . In Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-8565-69-3, pages 74-81. DOI: 10.5220/0004426400740081

in Bibtex Style

author={Tomasz Gubała and Katarzyna Prymula and Piotr Nowakowski and Marian Bubak},
title={Semantic Integration for Model-based Life Science Applications},
booktitle={Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},

in EndNote Style

JO - Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Semantic Integration for Model-based Life Science Applications
SN - 978-989-8565-69-3
AU - Gubała T.
AU - Prymula K.
AU - Nowakowski P.
AU - Bubak M.
PY - 2013
SP - 74
EP - 81
DO - 10.5220/0004426400740081