Semantic Interoperability and Knowledge  Building

Dear Colleagues,

In an increasingly connected world, information systems are becoming more and more complex, and the mass of real-time data that is stored and processed is growing exponentially. This amount of data, mostly heterogeneous from a semantic point of view, must be leveraged to take full advantage of it. Indeed, the diversity of the information systems and the generated data makes the notion of interoperability essential. Interoperability is considered as the key component that empowers information sharing. To tackle the interoperability challenge, ontologies are increasingly used for their semantic explicitness and knowledge discovery in order to enable semantic inference and reasoning for more intelligent systems, as well as to promote semantic interoperability among heterogeneous information systems.

This invited Special Issue intends to provide an opportunity for researchers to introduce their recent achievements related to semantic interoperability and knowledge building. Topics of interest include. but are not limited to, the following:

• Semantics-driven design of information system;
• Ontologies and knowledge-graph-based systems;
• Semantic interoperability of heterogeneous systems;
• Semantic provenance and knowledge acquisition;
• Semantic interoperability and systems alignment;
• Knowledge-based decision making;
• Knowledge discovery and reasoning;
• Semantics-driven Cyber-Physical Systems (CPS);
• Semantic Artificial Intelligence (AI);
• Semantic reasoning and machine learning processes.

Prof. Dr. Mohamed Hedi Karray
Dr. Linda Elmhadhbi
Dr. Arkopaul Sarkar
Dr. Antonio De Nicola
Guest Editors

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