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QoS-PN Ontology Model for Service Selection

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The 8th International Conference on Computer Engineering and Networks (CENet2018) (CENet2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 905))

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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.

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References

  1. Du, W.J.: Research on Web service selection method based on uncertainty QoS. Chongqing University, Chongqing (2014). (In Chinese)

    Google Scholar 

  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. 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. 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. 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. 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. 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. Wang, X.M.: Research on improved cloud service selection algorithm based on QoS history data. Chongqing University, Chongqing (2016). (In Chinese)

    Google Scholar 

  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 

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Correspondence to Qin Lu .

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Wu, M., Lu, Q. (2020). QoS-PN Ontology Model for Service Selection. 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_57

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