Jie Yang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Jie Yang has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Bo Jiang
Zhejiang Gongshang University, China
1 shared publication - Hang Li
School of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China
1 shared publication - Jiale Wang
Affiliation School of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou, China
1 shared publication - Junchen Yang
School of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China
1 shared publication - Junkai Zhou
School of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China
1 shared publication - Ning Wang
School of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China
1 shared publication
Latest Publications
- Open Access
- 10 August 2022
- Published by MDPI AG in Electronics
- Vol. 11 (16) , 2500
Service Discovery Method Based on Knowledge Graph and Word2vec
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.
- 10 August 2022
- Published by MDPI AG in Electronics
- Vol. 11 (16) , 2500
Open AccessService Discovery Method Based on Knowledge Graph and Word2vec
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.