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DIGITAL.CSIC
Article . 2017 . Peer-reviewed
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Conceptual Blending in EL++

Authors: Confalonieri R.; Schorlemmer M.; Kutz O.; Penaloza R.; Plaza E.; Eppe M.;

Conceptual Blending in EL++

Abstract

The cognitive theory of conceptual blending models human creativity as a mental process that combines two mental spaces into a new mental space, called a blend. According to this theory, a blend is constructed by taking the commonalities among the input mental spaces into account, to form a so-called generic space, and by projecting their non-common structure in a selective way to the novel blended space. In this paper, we apply this idea to blend input spaces modeled as complex EL++ concepts. To construct the generic space of two EL++ concepts, these need to be generalised in a controlled manner. For this, we propose an upward refinement operator that is used for finding common generalisations of EL++ concepts. © 2016, CEUR-WS. All rights reserved.

This work is partially supported by the COINVENT project (FET-Open grant number: 611553)

Peer Reviewed

Countries
Italy, Italy, Germany, Spain
Keywords

Formal languages, Conceptual blending, Description logics, Computational creativities, concept blending, description logics, Blending

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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