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.

Won the CAiSE 2024 PhD award for an outstanding theses in the field of information systems engineering Provides ontological foundations for economics and finance domains like money, trust, value, risk and exchanges Describes and demonstrates the usability of OntoFINE, the Ontology Network in Finance and Economics

Autorentext

Glenda Carla Moura Amaral is an Information Governance Analyst at the Central Bank of Brazil and a Guest Researcher at the Semantics, Cybersecurity & Services Group at the University of Twente, The Netherlands. She is also a Postdoctoral Researcher at the Department of Information Engineering, Computer Science and Mathematics at the University of L'Aquila, in Italy. She has over 20 years of experience with conceptual modeling and information management in the public service, in Brazil. Currently, she is working on theoretical and applied research on ontology-driven conceptual modeling for the financial sector and ontology-based requirements engineering methods for eliciting complex requirements, such as trustworthiness, ethicality, and sustainability.

Inhalt

Introduction.- Theoretical Framework.- Ontological Foundations.- Applications.- Conclusions.