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Automating Mashup Service Recommendation via Semantic and Structural Features
Joint Authors
Hang, Bo
Li, Bing
Xiong, Wei
Wu, Zhao
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-12
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Increasing physical objects connected to the Internet make it possible for smart things to access all kinds of cloud services.
Mashup has been an effective way to the rapid IoT (Internet of Things) application development.
It remains a big challenge to bridge the semantic gap between user expectations and application functionality with the development of mashup services.
This paper proposes a mashup service recommendation approach via merging semantic features from API descriptions and structural features from the mashup-API network.
To validate our approach, large-scale experiments are conducted based on a real-world accessible service repository, ProgrammableWeb.
The results show the effectiveness of our proposed approach.
American Psychological Association (APA)
Xiong, Wei& Wu, Zhao& Li, Bing& Hang, Bo. 2020. Automating Mashup Service Recommendation via Semantic and Structural Features. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1195548
Modern Language Association (MLA)
Xiong, Wei…[et al.]. Automating Mashup Service Recommendation via Semantic and Structural Features. Mathematical Problems in Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1195548
American Medical Association (AMA)
Xiong, Wei& Wu, Zhao& Li, Bing& Hang, Bo. Automating Mashup Service Recommendation via Semantic and Structural Features. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1195548
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1195548