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Paper Abstract and Keywords
Presentation 2020-05-29 15:00
Service Discovery Using Invocation Sequence Learning in Composition with Neural Language Networks
Zeng Kungan, Incheon Paik (UoA)
Abstract (in Japanese) (See Japanese page) 
(in English) Service composition can provide value-added services. Such a composition is a kind of abstract sequence, but it works with a definite meaning. Understanding these composition sequences well can help us with not only service discovery but also automatic service composition. Recently, multiple neural language networks demonstrate excellent performance in natural language learning, such as recurrent neural networks (RNN), Bidirectional RNN, bidirectional encoder representations of transformers (BERT). In this research, we investigate how the deep neural network architectures learn service invocation sequences well and extract information for service discovery. Several RNN architectures and BERT are examined.
Keyword (in Japanese) (See Japanese page) 
(in English) service composition / service discovery / neural network / language model / invocation sequence / / /  
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Conference Information
Committee SC  
Conference Date 2020-05-29 - 2020-05-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) AI Application for Service Computing Environment and Other Issues 
Paper Information
Registration To SC 
Conference Code 2020-05-SC 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Service Discovery Using Invocation Sequence Learning in Composition with Neural Language Networks 
Sub Title (in English)  
Keyword(1) service composition  
Keyword(2) service discovery  
Keyword(3) neural network  
Keyword(4) language model  
Keyword(5) invocation sequence  
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1st Author's Name Zeng Kungan  
1st Author's Affiliation School of Computer Science and Engineering, The University of Aizu (UoA)
2nd Author's Name Incheon Paik  
2nd Author's Affiliation School of Computer Science and Engineering,The University of Aizu (UoA)
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Speaker Author-1 
Date Time 2020-05-29 15:00:00 
Presentation Time 15 minutes 
Registration for SC 
Paper #  
Volume (vol) vol.120 
Number (no) no.49 
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