摘要

With the development of the E-Government, government portal has integrated a great deal of service information. The traditional methods of service discovery can not meet the diverse needs of users. Based on the current research, this paper proposed a new similarity-based method for e-government service discovery. The current static service workflows are re-combined to make them dynamic and more flexible. Then the most appropriate service is recommended to users by matching all similar services with users'; demands. It shows the web services of government portal are more intelligent and personalized. Experiments show that the method has more advantages than keyword-based method or ontology-based method.

  • 出版日期2011

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