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Service2vec: a vector representation for web services

conference contribution
posted on 2017-09-01, 00:00 authored by Y Zhang, M Zhang, Xi Zheng, D E Perry
© 2017 IEEE. Among the approaches that investigate the similarity between web services, hardly any concentrates on the impacts from contexts. In this paper we introduce service2vec which is an approach to represent web services as service embeddings based on a recent popular deep learning technique word2vec. Our approach composes and combines web services to be a document that is trained by the modeling technique of word2vec. As a result, each web service in the document is vectorized. By taking the advantage of word2vec, the resulting service embeddings of service2vec can be used to illustrate the contextual relations between web services. The experimental results suggest that service2vec can deliver contextual similarity between web services.

History

Event

International Conference on Web Services (2017 : Honolulu, Hawaii)

Pagination

890 - 893

Publisher

IEEE

Location

Honolulu, Hawaii

Place of publication

Piscataway, N.J.

Start date

2017-06-25

End date

2017-06-30

ISBN-13

9781538607527

Language

eng

Publication classification

X Not reportable; EN Other conference paper

Copyright notice

2017, IEEE

Title of proceedings

Proceedings - 2017 IEEE 24th International Conference on Web Services, ICWS 2017