Automating Mashup Service Recommendation via Semantic and Structural Features

Automating Mashup Service Recommendation via Semantic and Structural Features

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 expectatio...

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Bibliographic Details
Main Authors: Wei Xiong, Zhao Wu, Bing Li, Bo Hang
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2020/4960439
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spelling doaj-4fb81b10b2a64301b0c761c53834d8052020-11-25T03:42:42ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472020-01-01202010.1155/2020/49604394960439Automating Mashup Service Recommendation via Semantic and Structural FeaturesWei Xiong0Zhao Wu1Bing Li2Bo Hang3Hubei University of Arts and Science, Xiangyang 441000, ChinaHubei University of Arts and Science, Xiangyang 441000, ChinaInternational School of Software, Wuhan University, Wuhan 430072, ChinaHubei University of Arts and Science, Xiangyang 441000, ChinaIncreasing 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.http://dx.doi.org/10.1155/2020/4960439
collection DOAJ
language English
format Article
sources DOAJ
author Wei Xiong
Zhao Wu
Bing Li
Bo Hang
spellingShingle Wei Xiong
Zhao Wu
Bing Li
Bo Hang
Automating Mashup Service Recommendation via Semantic and Structural Features
Mathematical Problems in Engineering
author_facet Wei Xiong
Zhao Wu
Bing Li
Bo Hang
author_sort Wei Xiong
title Automating Mashup Service Recommendation via Semantic and Structural Features
title_short Automating Mashup Service Recommendation via Semantic and Structural Features
title_full Automating Mashup Service Recommendation via Semantic and Structural Features
title_fullStr Automating Mashup Service Recommendation via Semantic and Structural Features
title_full_unstemmed Automating Mashup Service Recommendation via Semantic and Structural Features
title_sort automating mashup service recommendation via semantic and structural features
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2020-01-01
description 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.
url http://dx.doi.org/10.1155/2020/4960439
work_keys_str_mv AT weixiong automatingmashupservicerecommendationviasemanticandstructuralfeatures
AT zhaowu automatingmashupservicerecommendationviasemanticandstructuralfeatures
AT bingli automatingmashupservicerecommendationviasemanticandstructuralfeatures
AT bohang automatingmashupservicerecommendationviasemanticandstructuralfeatures
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