Abstract Conceptual Models (CMs) are essential for information systems engineering since
they provide explicit and detailed representations of the subject domains at hand. Ontology …

Multi-domain model catalogs serve as empirical sources of knowledge and insights about
specific domains, about the use of a modeling language's constructs, as well as about the …

Several UFO grounded economic exchange ontologies have been developed in the last
decade, notably COFRIS, OntoREA, REA2, and ATE. An important question is whether they …

Several efforts that leverage the tools of formal ontology (such as OntoClean, OntoUML, and
UFO) have demonstrated the fruitfulness of considering key metaproperties of classes in …

In a previous paper, we proposed an algorithm for ontology-driven conceptual model
abstractions. We have implemented and tested this algorithm over a FAIR Catalog of such …

The complexity of an (ontology-driven) conceptual model highly correlates with the
complexity of the domain and software for which it is designed. With that in mind, an …

Forward engineering relational schemas based on conceptual models (in languages such
as UML and ER) is an established practice, with several automated transformation …

One of the significant barriers to the training of statistical models on knowledge graphs is the
difficulty that scientists have in finding the best input data to address their prediction goal. In …

Patterns are recurrent structures that provide key insights for Conceptual Modeling.
Typically, patterns emerge from the repeated modeling practice in a given field. However …

Enterprise Architecture (EA) is defined as a set of principles, methods, and models that
support the design of organizational structures, expressing the different concerns of a …