Semantic Interoperability in Internet of Things (IoT) and Artificial Intelligence (AI)

Dear Colleagues,

The Internet of Things (IoT) has been recognized as a crucial tool for establishing intelligent environments. Moreover, it facilitates digital transformation in many areas of our everyday life. IoT can be applied to a vast range of domains, including smart homes, education, healthcare, environment, etc.

IoT systems’ main disadvantage is the lack of interoperability in their integrated platforms. Semantic technologies can be applied to the above problem to overcome the barriers of standard data models by enabling more versatile ways to interlink data from various scales and domains. The aim is to facilitate interoperability among tools, systems, and actors that intervene in the creation and use of the IoT environment. Semantic interoperability allows computer systems to exchange data with unambiguous, shared meaning. Moreover, semantic interoperability can reduce the cost of subsystem integration and is a core requirement of autonomous operations in the IoT.

Furthermore, in recent years, artificial intelligence (AI) applications have been implemented to facilitate semantic interoperability in the IoT. The analysis and interpretation of these data are of great importance for the scientific community.

Recent research efforts have focused on the development of semantic interoperability tools in the IoT and AI. Despite this increased research interest, there is still scope for significant improvement in this area. 

This Special Issue welcomes original research papers as well as review articles and short communications focusing on the aforementioned areas. Topics of interest include, but are not limited to, the following:

• Semantic sensor networks and smart grids;
• Semantic services and agent systems;
• Implementation of services for semantic interoperability;
• Data acquisition, cleaning, and integration using AI techniques;
• Semantic and rule-based systems for data interpretation, coding, and presentation in different domains (health, education, smart homes, environment, etc.);
• Application and research in semantic web for IoT;
• Semantic interoperability and system alignment;
• Semantic artificial intelligence;
• Semantic reasoning and machine learning processes.

Prof. Dr. Phivos Mylonas
Prof. Dr. Christos Troussas
Dr. Ioannis Voyiatzis
Prof. Dr. Cleo Sgouropoulou
Prof. Dr. Katerina Kabassi
Guest Editors

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• semantic interoperability
• internet of things
• artificial intelligence