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QoS-PN Ontology Model for Service Selection

  • MaoYing Wu
  • Qin LuEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 905)

Abstract

In order to solve the existing QoS (Quality of Service) model lack of descriptions on the dynamic changes of attributes as well as user personalization QoS-PN, a new ontology model for QoS, is presented to provide users with a sharable and unified service quality description framework. By introducing User Personalize class and Status class. The QoS-PN model can rationally describe user’s personalized requirements and dynamic changes of attributes, which solve the problem of service reliability and service personalization requirement. QoS-PN is described as three-layer ontology model: QoS configuration layer, QoS attributes layer, and QoS metric layer. QoS-PN can describe detailed information related to QoS attributes, metric methods; QoS attribute values, and units for the QoS, which improve the accuracy of service matching. An example of travel route inquiry is presented to show the feasibility of the QoS-PN model. Empirical results show that this model supports rich semantic description and has strong extensibility. The stability and accuracy of selected service are effectively improved when QoS-PN model is used to describing QoS information. The QoS-PN enhances descriptive ability for QoS information and the description of dynamic Attribute and personalization has been expanded. The problem of QoS stability and user personalization in service selection is solved.

Keywords

Web service Semantic web QoS QoS ontology model 

References

  1. 1.
    Du, W.J.: Research on Web service selection method based on uncertainty QoS. Chongqing University, Chongqing (2014). (In Chinese)Google Scholar
  2. 2.
    Chen, Z., Chia, L.T., Lee, B.S.: DAML-QoS ontology for Web services. In: IEEE International Conference on Web Services, pp. 472–479 (2014)Google Scholar
  3. 3.
    Jean, S., Losavioy, F., Matteoy, A., Levyz, N.: An extension of OWL-S with quality standards. In: Fourth International Conference on Research Chall, pp. 483–494 (2010)Google Scholar
  4. 4.
    Gu, J.N.: Research on a three-layer QoS model of QoS in web service selection. Inf. Comput. 14, 40–41 (2015). (In Chinese)Google Scholar
  5. 5.
    Farzi, P., Akbari, R.: Improving semantic web service discovery method based on QoS ontology. In: IEEE Swarm Intelligence and Evolutionary Computation, pp. 343–350 (2017)Google Scholar
  6. 6.
    Zhang, L.F., Dong, C.L., et al.: A service selection method of supporting mixed QoS attributes. Comput. Appl. Softw. 33(09), 15–19 (2016). (In Chinese)Google Scholar
  7. 7.
    Wang, X., Vitvar, T., Kerrigan, M., et al.: A QoS-aware selection model for semantic web services. In: Lecture Notes in Computer Science, vol. 4294, pp. 390–401 (2006)Google Scholar
  8. 8.
    Wang, X.M.: Research on improved cloud service selection algorithm based on QoS history data. Chongqing University, Chongqing (2016). (In Chinese)Google Scholar
  9. 9.
    Ling, Y.H.: Research on web service selection method based on uncertainty of QoS User preference. Chongaing University, Chongqing (2016). (In Chinese)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Qilu University of Technology (Shandong Academy of Sciences)JinanChina

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