Semantic Integration for Model-based Life Science Applications

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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