Abstract
Web services are important technique basis of the Service-oriented Architecture. Services discovery is the prior to use the services which are published on the internet accurately. Tagging technique is widely used to assist the searching of service currently. To solve the time-consuming and error-prone problem in manual tagging, we propose a novel automatic approach to tag web services in this paper. There are two steps consisting of WSDL (Web Services Description Language) documents extracting and tag recommendation using the weighted textual matrix factorization. Experiments on real dataset are conducted and the results prove that our approach is effective.
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Acknowledgement
This work was supported by Ph.D. research foundation of Linyi University LYDX2016BS077, LYDX2015BS022), Project of Shandong Province Higher Educational Science and technology program (No. J17KA049, J13LN84), Shandong Provincial Natural Science Foundation (No. ZR2015FL032, ZR2016FM40, ZR2017MF050), and partly supported by National Natural Science Foundation of China (No: 61771230).
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Li, G., Cui, Y., Wang, H., Hu, S., Liu, L. (2020). Web Services Tagging Method Based on Weighted Textual Matrix Factorization. In: Liu, Q., Mısır, M., Wang, X., Liu, W. (eds) The 8th International Conference on Computer Engineering and Networks (CENet2018). CENet2018 2018. Advances in Intelligent Systems and Computing, vol 905. Springer, Cham. https://doi.org/10.1007/978-3-030-14680-1_42
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DOI: https://doi.org/10.1007/978-3-030-14680-1_42
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