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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Automating Mashup Service Recommendation via Semantic and Structural Features
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Automating Mashup Service Recommendation via Semantic and Structural Features

机译：Automating Mashup Service Recommendation via Semantic and Structural Features

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摘要

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, Programmable Web. The results show the effectiveness of our proposed approach.

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