Semantic computing is critical for the development of semantic systems and applications that must utilize semantic analysis, semantic description, semantic interfaces, and semantic integration of data and services to deliver their objectives. Semantic computing has enormous capabilities to enhance the efficiency and throughput of systems that are based on key emerging concepts and technologies such as semantic web, internet of things, blockchain technology, and knowledge graphs. Thus, research that expounds advanced concepts, methods, technologies, and applications of semantic computing for solving challenges in real-world domains is vital. Advanced Concepts, Methods, and Applications in Semantic Computing is a scholarly reference book that provides a sound theoretical foundation for the application of semantic methods, concepts, and technologies for practical problem solving. It is designed as a comprehensive and reliable resource on how semantic-oriented approaches can be used to aid new emergent technologies and tackle real-world problems. Covering topics that include deep learning, machine learning, blockchain technology, and semantic web services, this book is ideal for professionals, academicians, researchers, and students working in the field of semantic computing in various disciplines, including but not limited to software engineering, systems engineering, knowledge engineering, electronic commerce, computer science, and information technology.

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Olawande Daramola is currently a senior academic with the Cape Peninsula University of Technology, South Africa. He received his Bachelors, Masters and PhD degrees in Computer Science in 1997, 2004, and 2009 respectively. He has authored several scientific publications in reputable journals, book chapters, and conference proceedings in the fields of software engineering and artificial Intelligence (AI). His research interests include semantic computing, ontologies, machine learning, big data analytics, knowledge-based systems, and software engineering. He serves on the programme committee of several prestigious international conferences in Computing, and as reviewer for several top journals in the fields of Computer Science, and Information Technology.

Thomas Moser is working as the head of the research group Digital Technologies at St. P�lten University of Applied Sciences in Austria. He received his master and PhD degrees from Vienna University of Technology in 2006 and 2010, and since then authored a number of scientific publications and was involved in several research projects on national and international levels. His main research interested are data integration, knowledge graphs and digitalization in industry (“Industrie 4.0”).

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