A real-world service mashup platform based on data integration, information synthesis, and knowledge fusion-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A real-world service mashup platform based on data integration, information synthesis, and knowledge fusion

Published:2020-11-23 Issue:3 Volume:33 Page:463-481
ISSN:0954-0091
Container-title:Connection Science
language:en
Short-container-title:Connection Science

Author:

Yu Lei¹,Duan Yucong²,Li Kuan-Ching³

Affiliation:

1. Department of Computer Science, Inner Mongolia University, Hohhot, People’s Republic of China

2. School of Computer and Cyberspace Security, Hainan University, Haikou, People’s Republic of China

3. Department of Computer Science and Information Engineering, Providence University, Taiwan

Funder

National Natural Science Foundation of China

Hainan University Project

CERNet

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/09540091.2020.1841110

Reference41 articles.

1. Feasibility of a privacy preserving collaborative filtering scheme on the Google App Engine

2. Entropy4Cloud: Using Entropy-Based Complexity to Optimize Cloud Service Resource Management

3. Evaluating the effect of best practices for business process redesign: An evidence-based approach based on process mining techniques

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A context-aware factorisation machine approach for accurate QoS prediction;International Journal of Computational Science and Engineering;2024

2. On routing algorithms in the internet of vehicles: a survey;Connection Science;2023-10-27

3. Research on the Construction of a Multimodal Cognitive Graph of Textile and Clothing;2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security Companion (QRS-C);2023-10-22

4. Neighbor interaction-based personalised transfer for cross-domain recommendation;Connection Science;2023-09-29

5. Recommending third-party APIs via using lightweight graph convolutional neural networks;Connection Science;2023-07-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3