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 …

Ontology engineering is a hard and error-prone task, in which small changes may lead to
errors, or even produce an inconsistent ontology. As ontologies grow in size, the need for …

We introduce a family of operators to combine Description Logic concepts. They aim to
characterise complex concepts that apply to instances that satisfy\enough" of the concept …

Many aspects of how humans form and combine concepts are notoriously difficult to capture
formally. In this paper, we focus on the representation of three particular such aspects …

The cognitive-linguistic theory of conceptual blending was introduced by Fauconnier and
Turner in the late 90s to provide a descriptive model and foundational approach for the …

Abstract Large Language Models (LLMs) have revolutionised natural language generation.
But their statistical and auto-regressive nature makes them unreliable. It has become clear to …

Ontologies represent principled, formalised descriptions of agents' conceptualisations of a
domain. For a community of agents, these descriptions may significantly differ. We propose …

We summarise the definitions and some technical aspects of a familiy of description logics
that introduce concept constructors (so-called tooth-operators) which, under various …

General Enterprise Architecting (GEA) is a framework to govern coherence in complex
organizations, and is based on both scientific insights and experiences from practice. GEA …

Coherence between various enterprise facets is essential for optimal performance. A
quantitative expression for enterprise coherence has therefore the opportunity to function as …