Wireless Communications and Mobile Computing

Semantic Sensor Data Annotation and Integration on the Internet of Things 2021


Publishing date
01 Aug 2022
Status
Closed
Submission deadline
18 Mar 2022

Lead Editor

1Fujian University of Technology, Fuzhou, China

2Norwegian University of Science and Technology, Trondheim, Norway

3Swinburne University of Technology, Victoria, Australia

4Chaoyang University of Technology, Taichung, Taiwan

This issue is now closed for submissions.
More articles will be published in the near future.

Semantic Sensor Data Annotation and Integration on the Internet of Things 2021

This issue is now closed for submissions.
More articles will be published in the near future.

Description

The rapid increase in the number of network-enabled devices and sensors deployed in physical environments is changing information communication networks. It is predicted that within the next decade, billions of devices will generate myriad real-world data for many applications and services in a variety of areas, such as smart grids, smart homes, e-health, the automotive industry, transport, logistics, and environmental monitoring. The related technologies and solutions that enable the integration of real-world data and services into current information networking technologies are often described under the umbrella term the Internet of Things (IoT).

As most IoT devices operate in real-world environments, the exposed services are not as reliable and stable as well-engineered and maintained business services, and the quality of information and services in the IoT domain can vary over time. The heterogeneity of underlying devices and networks also makes it difficult to provide one-fits-all solutions to represent data and services that emerge from IoT networks. This brings significant challenges to data integration, data fusion, and discovery mechanisms that require interoperable and machine-interpretable data and quality descriptions. A potential solution to this challenge is to model IoT data using machine-interpretable and interoperable formats. The existing work often uses solutions that are adapted from the Semantic Web (SW) and semantic data modelling to overcome the interoperability issues and to provide semantically rich descriptions for IoT data. Recent advancements in this area are discussed in several existing works such as the Semantic Sensor Web (SSW) and Linked Sensor Data (LSD) on the Linked Open Data (LOD) cloud. Research on IoT data so far has largely focused on knowledge representation, i.e., how to semantically describe capabilities of IoT devices and services, data annotation, and publication, i.e., how to create and publish semantically annotated IoT data and linked data models.

The aim of this Special Issue is to gather research looking into both knowledge representation and publication, as well as work looking at other key issues like modelling and integrating observation and measurement data, streaming sensor data, and providing discovery mechanisms to enable distributed query mechanisms, which all help to enable end-to-end solutions for publication and consumption of the sensory data emerging from IoT resources. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

  • Sensor knowledge modelling and representation
  • Sensor data analysis and knowledge discovery
  • Sensor ontology engineering and sensor data annotation
  • Sensor ontology alignment and linked sensor data integration
  • Machine Learning, Deep Learning and Optimization
  • Techniques for Semantic Sensor Data Annotation and Integration

Articles

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  • - Article ID 7535575
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Label Propagation Clustering Algorithm Based on Adaptive Angle

Hui Du | Manjie Zhang | ... | Xuyan Cao
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  • - Volume 2022
  • - Article ID 2074035
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A Joint Model of Natural Language Understanding for Human-Computer Conversation in IoT

Rui Sun | Lu Rao | Xingfa Zhou
  • Special Issue
  • - Volume 2022
  • - Article ID 2136933
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Multiobjective Optimization Model and Algorithm Based on Differential Brain Storm for Service Path Constructing

Xiaoqiang Jia | Li Ge | ... | Biying Zhou
  • Special Issue
  • - Volume 2022
  • - Article ID 7715398
  • - Research Article

Study of Water Resources Optimal Operation Model of Multireservoir: A Case Study of Kuitun River Basin in Northwestern China

Changlu Qiao | Yan Wang | ... | Jiangang Lu
  • Special Issue
  • - Volume 2022
  • - Article ID 8683854
  • - Research Article

Energy-Efficient Data Transmission in Mobility-Aware Wireless Networks

Mengmeng Xu | Guixiang Zhang | ... | Juanjuan Wang
  • Special Issue
  • - Volume 2022
  • - Article ID 2608885
  • - Research Article

Research on Distributed Multisensor Spectrum Semantic Sensing and Recognition in Internet of Things Environment

Xiguo Liu | Jing Zhang | ... | Changbo Hou
  • Special Issue
  • - Volume 2022
  • - Article ID 5392474
  • - Research Article

A Load-Aware Multistripe Concurrent Update Scheme in Erasure-Coded Storage System

Junqi Chen | Yong Wang | ... | Wenlong Ke
  • Special Issue
  • - Volume 2022
  • - Article ID 1319029
  • - Research Article

Lightweight Security Wear Detection Method Based on YOLOv5

Sitong Liu | Nannan Zhang | Guo Yu
  • Special Issue
  • - Volume 2022
  • - Article ID 2378911
  • - Research Article

A Robust Pupil Localization via a Novel Parameter Optimization Strategy

Wenjun Zhou | Xiaoyi Lu | Yang Wang
  • Special Issue
  • - Volume 2022
  • - Article ID 5631787
  • - Research Article

Prediction of Air Leakage Rate of Sintering Furnace Based on BP Neural Network Optimized by PSO

Xiaokai Quan | Nannan Zhang | ... | Lianbo Ma
Wireless Communications and Mobile Computing
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Acceptance rate55%
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Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.