Abstract:

With the development of the Internet and communication technology, the Internet data growth rapidly, and the types of network services vary. Due to the variety of Web content and text length, the traditional classification methods can’t effectively solve the problem of large-scale Web pages classification. This paper designs and implements a real-time automatic Web services classification system (AWCS), including self-feedback system architecture, multi-dimensional network services classification standard, active and passive combining network service discovery and collection technology, and automatic self-correction network service classification techniques. Performance tests show that the classification accuracy of AWCS is significantly higher than the traditional algorithms. AWCS offers a promising approach for large-scale real-time network data classification system.

Key words: Web services classification, service discovery, service collection