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 descriptions given. For instance, an individual might not have any tusks, but still be considered an elephant. To formalise the meaning of “enough”, the operators take a list of weighted concepts as arguments, and a certain threshold to be met. We commence a study of the formal properties of these operators, and study some variations. The intended applications concern the representation of cognitive aspects of classification tasks: the interdependencies among the attributes that define a concept, the prototype of a concept, and the typicality of the instances
We introduce a family of logics extending the lightweight Description Logic EL, that allows us to de...
This paper proposes the use of description logics as a representational framework for learning compo...
In the field of machine learning different paradigms are used among which inductive learning. A spe...
We introduce a family of operators to combine Description Logic concepts. They aim to characterise c...
We introduce a family of operators to combine Description Logic concepts. They aim to characterise c...
We summarise the definitions and some technical aspects of a familiy of description logics that intr...
Many aspects of how humans form and combine concepts are notoriously difficult to capture formally. ...
We present an algorithm for concept combination inspired and informed by the research in cognitive a...
A concept is traditionally defined via the necessary and sufficient conditions that clearly determi...
Many aspects of how humans form and combine concepts are notoriously difficult to capture formally. ...
Perceptron operators have been recently introduced in Description Logics: they define a concept by l...
We study a family of operators (called ‘Tooth’ operators) that combine Description Logic concepts vi...
We study a family of operators (called ‘Tooth’ operators) that combine Description Logic concepts vi...
This article presents a detailed formal approach to concepts and concept combination. Sense generati...
We introduce a family of logics extending the lightweight Description Logic EL, that allows us to de...
This paper proposes the use of description logics as a representational framework for learning compo...
In the field of machine learning different paradigms are used among which inductive learning. A spe...
We introduce a family of operators to combine Description Logic concepts. They aim to characterise c...
We introduce a family of operators to combine Description Logic concepts. They aim to characterise c...
We summarise the definitions and some technical aspects of a familiy of description logics that intr...
Many aspects of how humans form and combine concepts are notoriously difficult to capture formally. ...
We present an algorithm for concept combination inspired and informed by the research in cognitive a...
A concept is traditionally defined via the necessary and sufficient conditions that clearly determi...
Many aspects of how humans form and combine concepts are notoriously difficult to capture formally. ...
Perceptron operators have been recently introduced in Description Logics: they define a concept by l...
We study a family of operators (called ‘Tooth’ operators) that combine Description Logic concepts vi...
We study a family of operators (called ‘Tooth’ operators) that combine Description Logic concepts vi...
This article presents a detailed formal approach to concepts and concept combination. Sense generati...
We introduce a family of logics extending the lightweight Description Logic EL, that allows us to de...
This paper proposes the use of description logics as a representational framework for learning compo...
In the field of machine learning different paradigms are used among which inductive learning. A spe...