An Evaluation of a Semantic Thing To Service Matching Approach in Industrial IoT Environments

2022 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS AND OTHER AFFILIATED EVENTS (PERCOM WORKSHOPS)(2022)

引用 3|浏览11
暂无评分
摘要
Industrial Internet of Things Platforms enable the use of available data to improve production and business processes. However, the data exchange and provisioning between the data sources and platform services remain a challenge as such platforms are usually vendor specific, proprietary, and associated with specific IoT hardware. Therefore, we propose a detailed description of an open-source software-based solution, Thing to Service Matching (TSMatch) which performs fine-grained semantic matching between available IoT data and services. Moreover, the paper presents the actual implementation of the proposed solution in 2 different Aerospace production environments, and a performance evaluation in a testbed environment.
更多
查看译文
关键词
IIoT data sources, semantic matching, use cases, IIoT Application
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要