Abstract
To resolve the shortages of current web services discovery algorithm, such as poor matching and difficult to meet personalized needs of users, this paper presents the personalized semantic web service discovery algorithm. Based on the OWL-S semantic web service theory, build personalized domain ontology, and according to its characteristics, to increase semantic factor by gradually, produced three semantic distance calculation methods. Based on this, we designed three personalized semantic web service discovery algorithms, and applied the Online Shopping Mall system. Experimental results show that the algorithm 3 can achieve better service discovery effects.
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Zhao, Zd., Zhan, Hm., Xu, N. (2012). Ontology–Based Personalized Service Discovery Algorithm. In: Zhang, W., Yang, X., Xu, Z., An, P., Liu, Q., Lu, Y. (eds) Advances on Digital Television and Wireless Multimedia Communications. Communications in Computer and Information Science, vol 331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34595-1_59
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DOI: https://doi.org/10.1007/978-3-642-34595-1_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34594-4
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