Abstract
Web services are service endpoints in Service Oriented Architecture (SOA). If the SOA paradigm succeeds there will be soon several thousand services, which can be used for composing required applications. For this, these services must first be discovered. However, the existing infrastructure for services publishing and management are built on the back of centralized registry (mostly as UDDI). They lack the flexibility to support personalized user requirements, known as services evaluation, services recommendation. In this paper, we will suggest a framework exploiting link analysis mechanism to assist web services discovery. The main idea is measuring the importance of a service within services network, and then recommending the services to end users. By pass, the user’s private requirements will be considered.
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Wu, H., Luo, F., Ning, X., Jin, H. (2008). A Suggested Framework for Exploring Contextual Information to Evaluate and Recommend Services. In: Wu, S., Yang, L.T., Xu, T.L. (eds) Advances in Grid and Pervasive Computing. GPC 2008. Lecture Notes in Computer Science, vol 5036. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68083-3_45
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DOI: https://doi.org/10.1007/978-3-540-68083-3_45
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