Special Issue on “Information, Knowledge, and Semantics for Interacting with Internet of Things (IoT)”
摘要截稿:
全文截稿: 2018-06-30
影响因子: 3.111
期刊难度:
CCF分类: B类
中科院JCR分区:
• 大类 : 计算机科学 - 3区
• 小类 : 计算机:硬件 - 3区
• 小类 : 计算机:信息系统 - 3区
• 小类 : 工程:电子与电气 - 3区
• 小类 : 电信学 - 3区
Overview
During recent years, researchers have been witnessing the fast development of Internet of Things (IoT). Recent interest in future IoT systems arises from a variety of challenging characteristics, such as capability, adaptability, resiliency, safety, security, and usability. As the biggest computer network, IoT produces massive information from a network of physical devices, which enables the communication and exchange of data. Computer networks are considered as the major contributor to handle 50 petabyte of data available on the Internet. Therefore, traditional technology cannot handle such data size. Although cutting-edge tools are proposed to analyze and extract useful knowledge from vast and diverse data streams, to attain the benefits of IoT, the identification of things, the integration and management of heterogeneous data and knowledge-based decision systems are required. Innovative solutions on technologies of identification, information, and knowledge systems are sought to attain throughput goals within efficiency constraints for orders of magnitude improvements.
This special issue studies IoT communication network architectures and services, network security and privacy issues in IoT, and network operation and management for IoT. In detail, the topics cover identification, data models, network communication protocols for information processing, network knowledge representation and management, and knowledge engineering in IoT. Artificial Intelligent (AI) knowledge mining techniques, modeling and analyzing interactions across spaces, and exploring how collaboration and interaction in IoT can be facilitated leveraging the best practices developed in related areas including social computing, computer network services and applications, social and community intelligence, ubiquitous computing, (wireless) sensor networks, service oriented computing, and business models. The usage and applications of the IoT are also focal points.
Potential topics include, but are not limited to:
- Big Data management and integration in IoT
- Big data Analytics in the Internet of Things
- AI-inspired information processing techniques in IoT
- Network communication protocols for IoT
- Technologies of data integration in the Internet of Things
- Integration of heterogeneous information for the Internet of Things
- Management information systems of the Internet of Things
- Knowledge retrieving and sharing mechanisms in the Internet of Things Business processing and business models in the Internet of Things
- Enterprise knowledge management in the Internet of Things
- Reasoning algorithms for the knowledge systems in the Internet of Things
- Semantic interoperability in the Internet of Things
- Privacy protection and security issues of the Internet of Things
- Service oriented computing in the Internet of Things
- Intelligent applications of the Internet of Things