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Authors: Tomasz Gubała 1 ; Katarzyna Prymula 2 ; Piotr Nowakowski 3 and Marian Bubak 4

Affiliations: 1 Academic Computer Centre Cyfronet AGH and University of Amsterdam, Poland ; 2 Medical College and Jagiellonian University, Poland ; 3 Academic Computer Centre Cyfronet AGH, Poland ; 4 AGH University of Science and Technology and University of Amsterdam, Poland

Keyword(s): Semantic Modeling, Database Semantics, Genetics Models, In-silico Experimentation.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Collaboration and e-Services ; Collaborative Systems ; Complex Systems Modeling and Simulation ; Conceptual Modeling ; Data Engineering ; Domain-Specific Tools ; e-Business ; Enterprise Information Systems ; Formal Methods ; Health Information Systems ; Integration/Interoperability ; Interoperability ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Sensor Networks ; Simulation and Modeling ; Simulation Tools and Platforms ; Software Agents and Internet Computing ; Software and Architectures ; Symbolic Systems

Abstract: 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 several formats:
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 - SIMULTECH; ISBN 978-989-8565-69-3; ISSN 2184-2841, SciTePress, pages 74-81. DOI: 10.5220/0004426400740081

@conference{simultech13,
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 - SIMULTECH},
year={2013},
pages={74-81},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004426400740081},
isbn={978-989-8565-69-3},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH
TI - Semantic Integration for Model-based Life Science Applications
SN - 978-989-8565-69-3
IS - 2184-2841
AU - Gubała, T.
AU - Prymula, K.
AU - Nowakowski, P.
AU - Bubak, M.
PY - 2013
SP - 74
EP - 81
DO - 10.5220/0004426400740081
PB - SciTePress

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