Semantic Web: Revolutionizing Knowledge Discovery in the Life Sciences
Semantic Web: Revolutionizing Knowledge Discovery in the Life Sciences
Towards reusing model components in systems biology
CMSB'04 Proceedings of the 20 international conference on Computational Methods in Systems Biology
CelOWS: A Service Oriented Architecture to Define, Query and Reuse Biological Models
ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I
ASOW-science: a service oriented framework to support E-science applications
IRI'09 Proceedings of the 10th IEEE international conference on Information Reuse & Integration
SASAgent: An agent based architecture for search, retrieval and composition of scientific models
Computers in Biology and Medicine
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Modeling in systems biology is concerned with using experimental information and mathematical methods to build quantitative models at different biological scales. This requires interoperation among various knowledge sources and services, such as biological databases, mathematical equations, data analysis tools, and so on. Semantic Web Services provide an infrastructure that allows a consistent representation of these knowledge sources as web-based information units, and enables discovery, composition, and execution of these units by associating machine-processable semantics description with them. In this paper, we show a method of using ontology alongside a semantic web services infrastructure to provide a knowledge standardisation framework in order to support modeling in systems biology. We demonstrate how ontologies are used to control the transformation of biological databases and data analysis methods into Web Services, and how ontology-based web services descriptions (OWL-S), are used to enable the composition between these services.