Using Ontology with Semantic Web Services to Support Modeling in Systems Biology
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.
KeywordsOntology OWL Semantic Web Services OWL-S Java EE
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