Ontology Based Evolution Of Domain Oriented Languages

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Ontology-Based Evolution of Domain-Oriented Languages

This book focuses on the study of ontology-based models and methods used for the implementation of the evolution of external domain-specific languages (DSL), which are mainly intended for modelling the structure of human-machine interfaces. The primary goal of the approach is to increase the efficiency of support processes during the life cycle of general-purpose software systems. The book is structured in seven chapters. Chapter 1 presents the objectives and significance of the research, as well as a summary of the contents of the work. Chapter 2 analyses the existing classical DSL design and implementation methodology for modelling human-machine interfaces in the context of the lifecycle of general-purpose software systems. Next, chapter 3 is devoted to an analysis of existing methods and formalisms used in describing the structure of a DSL for modelling human-machine interfaces of software systems. Subsequently, chapter 4 provides a detailed description of the proposed new projection-based approach for developing such DSLs. Chapter 5 then describes the software implementation of the human-machine interface evolution based on an example of an external DSL in two domains. Eventually, chapter 6 analyses the application of the proposed projection approach for more complex systems, namely, decision support systems based on heterogeneous information of decision makers. The concluding chapter 7 summarizes the main results of the research and suggests further development paths and practical applications. The book is written for researchers in model-driven software development in general and in domain-specific language engineering in particular.
Ontology-Based Development of Industry 4.0 and 5.0 Solutions for Smart Manufacturing and Production

This book presents a comprehensive framework for developing Industry 4.0 and 5.0 solutions through the use of ontology modeling and graph-based optimization techniques. With effective information management being critical to successful manufacturing processes, this book emphasizes the importance of adequate modeling and systematic analysis of interacting elements in the era of smart manufacturing. The book provides an extensive overview of semantic technologies and their potential to integrate with existing industrial standards, planning, and execution systems to provide efficient data processing and analysis. It also investigates the design of Industry 5.0 solutions and the need for problem-specific descriptions of production processes, operator skills and states, and sensor monitoring in intelligent spaces. The book proposes that ontology-based data can efficiently represent enterprise and manufacturing datasets. The book is divided into two parts: modelingand optimization. The semantic modeling part provides an overview of ontologies and knowledge graphs that can be used to create Industry 4.0 and 5.0 applications, with two detailed applications presented on a reproducible industrial case study. The optimization part of the book focuses on network science-based process optimization and presents various detailed applications, such as graph-based analytics, assembly line balancing, and community detection. The book is based on six key points: the need for horizontal and vertical integration in modern industry; the potential benefits of integrating semantic technologies into ERP and MES systems; the importance of optimization methods in Industry 4.0 and 5.0 concepts; the need to process large amounts of data while ensuring interoperability and re-usability factors; the potential for digital twin models to model smart factories, including big data access; and the need to integrate human factors in CPSs and provide adequate methods tofacilitate collaboration and support shop floor workers.
Theoretical and Practical Advances in Information Systems Development: Emerging Trends and Approaches

Information system design and development is of interest and importance to researchers and practitioners, as advances in this discipline impact a number of other related fields and help to guide future research. Theoretical and Practical Advances in Information Systems Development: Emerging Trends and Approaches contains fundamental concepts, emerging theories, and practical applications in database management, systems analysis and design, and software engineering. Contributions present critical findings in information resources management that inform and advance the field.