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Deep Learning for Web Services Classification
- Source :
- ICWS
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
Abstract
- Automated service classification plays a crucial role in service discovery, selection, and composition. Machine learning has been used for service classification in recent years. However, the performance of conventional machine learning methods highly depends on the quality of manual feature engineering. In this paper, we present a deep neural network to automatically abstract low-level representation of service description to high-level features without feature engineering and then predict service classification on 50 service categories. To demonstrate the effectiveness of our approach, we conduct a comprehensive experimental study by comparing 10 machine learning methods on 10,000 real-world web services. The result shows that the proposed deep neural network can achieve higher accuracy than other machine learning methods.
- Subjects :
- Feature engineering
Service (systems architecture)
Artificial neural network
business.industry
Computer science
media_common.quotation_subject
Deep learning
Service discovery
02 engineering and technology
computer.software_genre
Machine learning
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Quality (business)
Artificial intelligence
Web service
Representation (mathematics)
business
computer
media_common
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2019 IEEE International Conference on Web Services (ICWS)
- Accession number :
- edsair.doi...........429e3a561866e9ff09bd15dd72c715ae