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A new cloud-based classification methodology (CBCM) for efficient semantic web service discovery

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Abstract

Over the last decades, web services are used for performing specific tasks demanded by users. The most important task of service’s classification system is to match an anonymous input service with the stored pre-classified web services. The most challenging issue is that web services are currently organized and classified according to syntax while the context of the requested service is ignored. Due to this motivation, Cloud-based Classification Methodology is proposed as it presents a new methodology based on semantic web service’s classification. Furthermore, cloud computing is used for not only storing but also allocating the high scale of web services with both high availability and accessibility. Fog technology is employed to reduce the latency and to speed up response time. The experimental results using the suggested methodology show a better performance of the proposed system regarding both precision and accuracy in comparison with most of the methods discussed in the literature of the current study.

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Acknowledgements

The authors would like to thank the editors and reviewers for their supportive and helpful comments.

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  1. Department of Computer Engineering & Systems, Faculty of Engineering, Mansoura University, Mansoura, Egypt

    Mohamed S. Alshafaey, Ahmed I. Saleh & Mohamed F. Alrahamawy

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  1. Mohamed S. Alshafaey
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  2. Ahmed I. Saleh
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  3. Mohamed F. Alrahamawy
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Correspondence to Mohamed S. Alshafaey.

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Alshafaey, M.S., Saleh, A.I. & Alrahamawy, M.F. A new cloud-based classification methodology (CBCM) for efficient semantic web service discovery. Cluster Comput 24, 2269–2292 (2021). https://doi.org/10.1007/s10586-021-03245-z

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