Domain Specific Conceptual Modeling
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Domain-Specific Conceptual Modeling
Author: Dimitris Karagiannis
language: en
Publisher: Springer Nature
Release Date: 2022-03-10
This book demonstrates the significance of domain-specific conceptual modeling through new research and development approaches that are manifested in each of the chapters. They include novel modelling methods and tools that emphasize the recent results accomplished and their adequacy to assess specific aspects of a domain. Each chapter offers detailed instructions on how to build models in a particular domain, such as product-service engineering, enterprise engineering, digital business ecosystems, and enterprise modelling and capability management. All chapters are enriched with case studies, related information, and tool implementations. The tools are based on the ADOxx metamodelling platform and are provided free of charge via OMiLAB. Furthermore, the book emphasizes possible future developments and potential research directions. The collection of works presented here will benefit experts and practitioners from academia and industry alike, including members of the conceptual modeling community as well as lecturers and students.
Conceptual Modeling of Information Systems
Author: Antoni Olivé
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-08-15
It is now more than fifty years since the first paper on formal specifications of an information system was published by Young and Kent. Even if the term “conceptual model” was not used at that time, the basic intention of the abstract specification was to a large extent the same as for developing conceptual models today: to arrive at a precise, abstract, and hardware - dependent model of the informational and time characteristics of a data processing problem. The abstract notation should enable the analyst to - ganize the problem around any piece of hardware. In other words, the p- pose of an abstract specification was for it to be used as an invariant basis for designing different alternative implementations, perhaps even using different hardware components. Research and practice of abstract modeling of information systems has since the late fifties progressed through many milestones and achie- ments. In the sixties, pioneering work was carried out by the CODASYL Development committee who in 1962 presented the “Information Al- bra”. At about the same time Börje Langefors published his elementary message and e-file approach to specification of information systems. The next decade, the seventies, was characterized by the introduction of a large number of new types of, as they were called, “data models”. We saw the birth of, for instance, Binary Data Models, Entity Relationship Models, Relational Data Models, Semantic Data Models, and Temporal Deductive Models.
Domain-Specific Conceptual Modeling
This third volume of the book series “Domain-Specific Conceptual Modeling” presents new application cases for domain-specific modeling languages and for the engineering of modeling languages and tools. All cases use the ADOxx metamodeling platform or toolkits from the Digital Innovation Environment, shared by the OMiLAB Community of Practice and available for open use. Through this platform, participants can share ideas and engage in an exploration process regarding model-based decision making, augmented intelligence, or model-driven systems engineering. All reported cases originate from research initiatives but are also suitable for teaching, demonstrations, or experimentation tooling that can be further expanded to better grasp the benefits of metamodeling and scripting of model-based functionalities. Each chapter result is elevated with the possibility to download the modeling tool and practically apply the theoretical concepts through case studies and examples provided by the author. In addition to describing novel domain-specific languages or language extensions for diverse purposes and levels of specificity, the book offers detailed instructions on how to build models in a particular application domain – including the management of Internet of Things facilities, decentralized governance, intelligence augmentation, and digital nudging strategies. Overall, the collection of works presented here will benefit experts and practitioners from both academia and industry, including members of the conceptual modeling community, as well as lecturers and students.