Conceptual blending is understood to be a process that serves a variety of cognitive purposes, including creativity, and has been highly influential in cognitive linguistics. In this line of thinking, human creativity is modeled as a blending process that takes different mental spaces as input and combines them into a new mental space, called a blend. According to this form of combinatorial creativity, a blend is constructed by taking the existing commonalities among the input mental spaces—known as the generic space—into account, and by projecting their structure in a selective way. Since input spaces for interesting blends are often initially incompatible, a generalisation step is needed before they can be blended. In this paper, we apply this idea to blend input spaces specified in the description logic EL++ and propose an upward refinement operator for generalising EL++ concepts. We show how the generalisation operator is translated to Answer Set Programming (ASP) in order to implement a search process that finds possible generalisations of input concepts. We exemplify our approach in the domain of computer icons.
Confalonieri, R., Schorlemmer, M., Plaza, E., Eppe, M., Kutz, O., Penaloza, R. (2015). Upward Refinement for Conceptual Blending in Description Logic: An ASP-based Approach and Case Study in EL. In Proceedings of the Joint Ontology Workshops 2015. Episode 1: The Argentine Winter of Ontology, co-located with the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015). CEUR-WS.
Upward Refinement for Conceptual Blending in Description Logic: An ASP-based Approach and Case Study in EL
Penaloza, R
2015
Abstract
Conceptual blending is understood to be a process that serves a variety of cognitive purposes, including creativity, and has been highly influential in cognitive linguistics. In this line of thinking, human creativity is modeled as a blending process that takes different mental spaces as input and combines them into a new mental space, called a blend. According to this form of combinatorial creativity, a blend is constructed by taking the existing commonalities among the input mental spaces—known as the generic space—into account, and by projecting their structure in a selective way. Since input spaces for interesting blends are often initially incompatible, a generalisation step is needed before they can be blended. In this paper, we apply this idea to blend input spaces specified in the description logic EL++ and propose an upward refinement operator for generalising EL++ concepts. We show how the generalisation operator is translated to Answer Set Programming (ASP) in order to implement a search process that finds possible generalisations of input concepts. We exemplify our approach in the domain of computer icons.File | Dimensione | Formato | |
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