Despite progress in the development of standards for describing and exchanging scientific
information, the lack of easy-to-use standards for map** between different representations …

We present a computational framework for conceptual blending, a concept invention method
that is advocated in cognitive science as a fundamental and uniquely human engine for …

In this book the author's theoretical framework builds on linguistic and psychological
research, arguing that similar image-schematic notions should be grouped together into …

Formal knowledge representation struggles to represent the dynamic changes within
complex events in a cognitively plausible way. Image schemas, on the other hand, are …

Institution theory represents the fully axiomatic approach to model theory in which all
components of logical systems are treated fully abstractly by reliance on category theory …

Commonsense knowledge is a broad and challenging area of research which investigates
our understanding of the world as well as human assumptions about reality. Deriving directly …

We are interested in the computation of ontology extracts based on forgetting from large
ontologies in real-world scenarios. Such scenarios require nearly all of the terms in the …

Since the early days of ontology engineering, manufacturing is one of the main areas where
ontologies have traditionally been applied (Guarino et al., 1997; Uschold and Grüninger …

Ontohub is a repository engine for managing distributed heterogeneous ontologies. The
distributed nature enables communities to share and exchange their contributions easily …

We present a mathematical model for the cognitive operation of conceptual blending that
aims at being uniform across different representation formalisms, while capturing the …