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Using ontology with semantic web services to support modeling in systems biology

Sun, ZY; Finkelstein, A; Ashmore, J; (2007) Using ontology with semantic web services to support modeling in systems biology. In: Weske, M and Hacid, MS and Godart, C, (eds.) WEB INFORMATION SYSTEMS ENGINEERING - WISE 2007 WORKSHOPS. (pp. 41 - 51). SPRINGER-VERLAG BERLIN

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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.

Type: Proceedings paper
Title: Using ontology with semantic web services to support modeling in systems biology
Event: 8th International Conference on Web Information Systems Engineering (WISE 2007)
Location: Nancy, FRANCE
Dates: 2007-12-03
ISBN-13: 978-3-540-77009-1
Keywords: ontology, OWL, semantic web services, OWL-S, Java EE
UCL classification: UCL > School of Life and Medical Sciences > Faculty of Life Sciences > Biosciences (Division of) > Neuroscience, Physiology and Pharmacology
UCL > School of BEAMS > Faculty of Engineering Science > Engineering Science Faculty Office
UCL > School of BEAMS > Faculty of Maths and Physical Sciences > CoMPLEX - Maths and Physics in the Life Sciences and Experimental Biology
URI: http://discovery.ucl.ac.uk/id/eprint/178733
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