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Social Modeling Using the i* Framework
This book is based on a symposium to celebrate Eric Yu, the inventor of the i* framework, held on the occasion of his retirement and collocated with the 31st IEEE International Requirements Engineering Conference. The notion of social modeling emerged in the mid-nineties as a powerful conceptual approach to intricately analyze and specify complex social ecosystems, wherein strategic actors collaborate and depend on each other in order to attain their goals. The i* framework was designed precisely for this purpose, rapidly establishing itself as the de facto standard in the requirements engineering and information systems communities. The invited chapters, which were all written by highly acc...
Ontology Engineering with Ontology Design Patterns: Foundations and Applications
The use of ontologies for data and knowledge organization has become ubiquitous in many data-intensive and knowledge-driven application areas, in science, industry, and the humanities. At the same time, ontology engineering best practices continue to evolve. In particular, modular ontology modeling based on ontology design patterns is establishing itself as an approach for creating versatile and extendable ontologies for data management and integration. This book is the very first comprehensive treatment of Ontology Engineering with Ontology Design Patterns. It contains both advanced and introductory material accessible for readers with only a minimal background in ontology modeling. Some introductory material is written in the style of tutorials, and specific chapters are devoted to examples and to applications. Other chapters convey the state of the art in research regarding ontology design patterns. The editors and the contributing authors include the leading contributors to the development of ontology-design-pattern-driven ontology engineering.
Ontology Makes Sense
Nicola Guarino is widely recognized as one of the founders of applied ontology. His deep interest in the subtlest details of theoretical analysis and his vision of ontology as the Rosetta Stone for semantic interoperability guided the development and understanding of this domain. His motivations in research stem from the conviction that all science must be for the benefit of society at large, and his motto has always been that ontologies are not just for making information systems interoperable, but – more importantly – for ensuring that systems’ users understand each other. He was among the first to recognize that applied ontology must be an interdisciplinary enterprise if it is to ca...
An Ontology Network in Finance and Economics
This book is the PhD dissertation written by the author to receive her PhD from the Faculty of Computer Science at the Free University of Bozen-Bolzano, Italy. By exploiting methods from philosophical analysis, conceptual modeling, and ontologies, it contributes to the definition of ontological foundations for economics and finance, with a focus on the domains of money (including digital currencies), trust (and trustworthiness), value, risk, and economic exchanges, as these are intertwined concepts, directly related to recent challenges faced by the financial industry, due to emergence of new technologies. One main contribution of this thesis is the Ontology Network in Finance and Economics (OntoFINE), a federation of well-grounded reference models representing knowledge in the aforementioned domains. Its usability and relevance are demonstrated through several applications in the fields of requirements engineering, enterprise modeling, decentralized finance, and game theory. In 2024, the PhD dissertation won the CAiSE PhD Award, granted to outstanding PhD theses in the field of information systems engineering.
Advances in Enterprise Engineering XV
This book constitutes the proceedings of the 11th Enterprise Engineering Working Conference, EEWC 2021, which was held online on November 12, 2021, and December 16-17, 2021. EEWC aims at addressing the challenges that modern and complex enterprises are facing in a rapidly changing world. The participants of the working conference share a belief that dealing with these challenges requires rigorous and scientific solutions, focusing on the design and engineering of enterprises. The goal of EEWC is to stimulate interaction between the different stakeholders, scientists as well as practitioners, interested in making Enterprise Engineering a reality. The 5 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 16 submissions. The volume also contains 2 keynote papers.
Advances in Conceptual Modeling
This book constitutes the refereed proceedings of the workshops held at the 44th International Conference on Conceptual Modeling, ER 2025, which took place in Poitiers, France, during October 20–23, 2025. The 11 full papers and 2 other papers included in this book were carefully reviewed and selected from 26 submissions. The highly dynamic nature of ER workshops helps shape the future of conceptual modeling and contributes to its impact across diverse domains of knowledge, from life sciences to engineering and business. Five workshops were organized at ER 2025. These include: – Fundamentals of Conceptual Modeling (FCM) – 6th International Workshop on Conceptual Modeling for Life Sciences (CMLS) – 3rd International Workshop on Modeling in the Age of Large Language Models (LLM4Modeling) – 11th International Workshop on Ontologies and Conceptual Modeling (OntoCom) – 6th International Workshop on Quality and Measurement of Model-Driven Software Development (QUAMES)
Formal Ontology in Information Systems
Ontology, originally a fundamental part of philosophical enquiry, is concerned with the analysis and categorization of what exists. The advent of complex information systems which rely on robust and coherent formal representations of their subject matter has led to a renewed focus on ontological enquiry, and the systematic study of such representations are at the center of the modern discipline of formal ontology. This is now a research focus in domains as diverse as conceptual modeling, database design, software engineering, artificial intelligence, computational linguistics, the life sciences, bioinformatics, geographic information science, knowledge engineering, information retrieval and ...
Domain Engineering
Domain engineering is a set of activities intended to develop, maintain, and manage the creation and evolution of an area of knowledge suitable for processing by a range of software systems. It is of considerable practical significance, as it provides methods and techniques that help reduce time-to-market, development costs, and project risks on one hand, and helps improve system quality and performance on a consistent basis on the other. In this book, the editors present a collection of invited chapters from various fields related to domain engineering. The individual chapters present state-of-the-art research and are organized in three parts. The first part focuses on results that deal wit...
