Service Selection Based on Rule and Statistics Model in WoT Smart Home

Abstract:

As the development of WoT(Web of Things), a large mount of services emerge. How to make full use of these services is a hot research area nowadays. This paper focuses on making these services more valuable in WoT Smart Home scenario. In this paper, we propose a model called service selection model based on rule and statistics into WoT Smart Home scenario. It is a combination of rule model and statistics model. It not only automatizes the service selection process by adopting statistics algorithm, but also dramatically improves the accuracy of this process by combining rule and statistics. Further more, it saves efforts of the annotation of service rules greatly. We carry out some experiments to verify the efficiency of this model by comparing with rule model and statistics respectively. The results show that the combination model can efficiently and precisely select services.

• Periodical: Applied Mechanics and Materials (Volume 681)
• Pages: 244-248
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.681.244
• Online since: October 2014
• Authors: Dan Wei*, Chun Hong Zhang, Xin Ning Zhu
• Keywords: Modeling, Rule, Service Selection, Statistics, Web Service

References

[1] Menascé D A, Casalicchio E, Dubey V. On optimal service selection in service oriented architectures[J]. Performance Evaluation, 2010, 67(8): 659-675.

DOI: 10.1016/j.peva.2009.07.001

[2] Wu J, Wu Z. Similarity-based web service matchmaking[C]/Services Computing, 2005 IEEE International Conference on. IEEE, 2005, 1: 287-294.

DOI: 10.1109/scc.2005.93

[3] Meditskos G, Bassiliades N. Object-oriented similarity measures for semantic web service matchmaking[C]/Web Services, 2007. ECOWS'07. Fifth European Conference on. IEEE, 2007: 57-66.

DOI: 10.1109/ecows.2007.10

[4] Baader F, Lutz C, Milicic M, et al. A description logic based approach to reasoning about web services[C]/Proceedings of the WWW 2005 workshop on web service semantics (WSS2005). 2005: 10-14.

[5] Baader F, Horrocks I, Sattler U. Description logics as ontology languages for the semantic web[M]/Mechanizing Mathematical Reasoning. Springer Berlin Heidelberg, 2005: 228-248.

DOI: 10.1007/978-3-540-32254-2_14

[6] Agarwal S, Studer R. Automatic matchmaking of web services[C]/Web Services, 2006. ICWS'06. International Conference on. IEEE, 2006: 45-54.

DOI: 10.1109/icws.2006.35

[7] Plebani P, Pernici B. URBE: Web service retrieval based on similarity evaluation[J]. Knowledge and Data Engineering, IEEE Transactions on, 2009, 21(11): 1629-1642.

DOI: 10.1109/tkde.2009.35

[8] Dong X, Halevy A, Madhavan J, et al. Similarity search for web services[C]/Proceedings of the Thirtieth international conference on Very large data bases-Volume 30. VLDB Endowment, 2004: 372-383.

DOI: 10.1016/b978-012088469-8.50035-8

[9] Information on https: /ifttt. com.

[10] Orriens B, Yang J, Papazoglou M P. A framework for business rule driven web service composition[M]/Conceptual Modeling for Novel Application Domains. Springer Berlin Heidelberg, 2003: 52-64.

DOI: 10.1007/978-3-540-39597-3_6