Abstract
Current research in domains such as the Life Sciences depends heavily on the integration of information coming from diverse sources, which are typically highly complex and heterogeneous, and usually require exploratory access. Web services are increasingly used as the preferred method for accessing and processing these sources. Due to the large number of available web services, the sheer complexity of the data and the frequent lack of documentation, discovering the most appropriate web service for a given task is a challenge for the user.
In this paper we propose a semi-automatic approach to assist the user in the discovery of which web services are the most appropriate to achieve her requirements. We describe the overall framework of our approach and we provide a detailed description of the techniques used in each phase of our approach. Finally, the usefulness of our approach is demonstrated through a Bioinformatics case study.
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Pérez, M., Sanz, I., Berlanga, R., Aramburu, M.J. (2010). Semi-automatic Discovery of Web Services Driven by User Requirements. In: Bringas, P.G., Hameurlain, A., Quirchmayr, G. (eds) Database and Expert Systems Applications. DEXA 2010. Lecture Notes in Computer Science, vol 6261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15364-8_5
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DOI: https://doi.org/10.1007/978-3-642-15364-8_5
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