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Volume 11
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10.3390/electronics11162500
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Article

Service Discovery Method Based on Knowledge Graph and Word2vec

by
Junkai Zhou
1,†,
Bo Jiang
1,
Jie Yang
2,*,
Junchen Yang
1,†,
Hang Li
1,†,
Ning Wang
1 and
Jiale Wang
1
1
School of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China
2
School of Information, Zhejiang University of Finance & Economics Dongfang College, Haining 314408, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Electronics 2022, 11(16), 2500; https://doi.org/10.3390/electronics11162500
Submission received: 11 July 2022 / Revised: 4 August 2022 / Accepted: 9 August 2022 / Published: 10 August 2022
(This article belongs to the Section Computer Science & Engineering)
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Abstract

Mashup is a new type of application that integrates multiple Web APIs. For mashup application development, the quality of the selected APIs is particularly important. However, with the rapid development of Internet technology, the number of Web APIs is increasing rapidly. It is unrealistic for mashup developers to manually select appropriate APIs from a large number of services. For existing methods, there is a problem of data sparsity, because one mashup is related to a few APIs, and another problem of over-reliance on semantic information. To solve these problems in current service discovery approaches, we propose a service discovery approach based on a knowledge map (SDKG). We embed service-related information into the knowledge graph, alleviating the impact of data sparsity and mining deep relationships between services, which improves the accuracy of service discovery. Experimental results show that our approach has obvious advantages in accuracy compared with the existing mainstream service discovery approaches.
Keywords: knowledge graph; service discovery; word2vec knowledge graph; service discovery; word2vec

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MDPI and ACS Style

Zhou, J.; Jiang, B.; Yang, J.; Yang, J.; Li, H.; Wang, N.; Wang, J. Service Discovery Method Based on Knowledge Graph and Word2vec. Electronics 2022, 11, 2500. https://doi.org/10.3390/electronics11162500

AMA Style

Zhou J, Jiang B, Yang J, Yang J, Li H, Wang N, Wang J. Service Discovery Method Based on Knowledge Graph and Word2vec. Electronics. 2022; 11(16):2500. https://doi.org/10.3390/electronics11162500

Chicago/Turabian Style

Zhou, Junkai, Bo Jiang, Jie Yang, Junchen Yang, Hang Li, Ning Wang, and Jiale Wang. 2022. "Service Discovery Method Based on Knowledge Graph and Word2vec" Electronics 11, no. 16: 2500. https://doi.org/10.3390/electronics11162500

APA Style

Zhou, J., Jiang, B., Yang, J., Yang, J., Li, H., Wang, N., & Wang, J. (2022). Service Discovery Method Based on Knowledge Graph and Word2vec. Electronics, 11(16), 2500. https://doi.org/10.3390/electronics11162500

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