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Web Services Tagging Method Based on Weighted Textual Matrix Factorization

  • Guoqiang LiEmail author
  • Yifeng CuiEmail author
  • Haifeng Wang
  • Shunbo Hu
  • Li Liu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 905)

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.

Keywords

Service-oriented Architecture Services tagging Weighted textual matrix factorization Services discovery 

Notes

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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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.School of Information Science and EngineeringLinyi UniversityLinyi CityChina

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