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Mobile Networks and Applications
Erschienen in: Mobile Networks and Applications 1/2023

07.03.2023

Intelligent Semantic Annotation for Mobile Services for IoT Computing from Heterogeneous Data

verfasst von: Yueshen Xu, Xinyu Zhao, Zhiping Jiang, Zhibo Qiu, Lei Hei, Rui Li

Erschienen in: Mobile Networks and Applications | Ausgabe 1/2023

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Abstract

The rapid development of Internet-of-Things (IoT) computing leads to many problems, among which the management of massive mobile services has attracted much attention. When developers are looking for a service for IoT computing from mobile services, they typically try to discover the services according to annotations. If the mobile services are not assigned by proper annotations, it will be difficult for developers to find the suitable service. For providers, if the services that they provide cannot be used by developers, there will be no revenue. Therefore, it is a critical to assign proper semantic annotations to the mobile services. Existing approaches usually use the call records between services and developers to construct a score matrix, and compute the similarity between services and semantic annotations. However, these approaches do not leverage the natural association between services, providers and users. To make full use of the information inherent in services, we construct a heterogeneous information network (HIN) for service data, and propose a new model named GoT, which fully utilizes the structural and semantic information. GoT contains four components, which are the metapath construction, the intra-metapath fusion, the inter-metapath fusion, and the semantic annotation recommendation. We collected a real-world Web API dataset and performed adequate experiments. The experimental results show that our model produces superior recommendation accuracy and alleviates the cold-start problem.
Vorheriger Artikel Editorial: AI-based Data Intelligent for IoT Computing
Nächster Artikel Dense Attention Fusion Network for Object Counting in IoT System

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Metadaten
Titel
Intelligent Semantic Annotation for Mobile Services for IoT Computing from Heterogeneous Data
verfasst von
Yueshen Xu
Xinyu Zhao
Zhiping Jiang
Zhibo Qiu
Lei Hei
Rui Li
Publikationsdatum
07.03.2023
Verlag
Springer US
Erschienen in
Mobile Networks and Applications / Ausgabe 1/2023
Print ISSN: 1383-469X
Elektronische ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-023-02091-0

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