Image Schema Combinations and Complex Events

Hedblom, Maria M.; Kutz, Oliver; Peñaloza, Rafael; Guizzardi, Giancarlo

doi:10.1007/s13218-019-00605-1

Cited by 20 publications

(10 citation statements)

References 56 publications

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“…Finally, we think that the uniform model presented in this article can also be very relevant for further understanding the relationship of embodied cognition with conceptualisation and creativity in computational environments. While Hedblom et al have done some initial work in this direction by developing an image schema logic [114], we think that by building upon a category-theoretic approach we can reach a uniform but computationally feasible model of the image-schematic structure underlying human conceptualisation and creativeproblem solving that is applicable to a variety of di↵erent domains.…”

Section: Discussionmentioning

confidence: 99%

A uniform model of computational conceptual blending

Schorlemmer

Plaza

2021

Cognitive Systems Research

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We present a mathematical model for the cognitive operation of conceptual blending that aims at being uniform across di↵erent representation formalisms, while capturing the relevant structure of this operation. The model takes its inspiration from amalgams as applied in case-based reasoning, but lifts them into the theory of categories so as to follow Joseph Goguen's intuition for a mathematically precise characterisation of conceptual blending at a representationindependent level of abstraction. We prove that our amalgam-based categorytheoretical model of conceptual blending is essentially equivalent to the pushout model in the ordered category of partial maps as put forward by Joseph Goguen. But unlike Goguen's approach, our model is more suitable for a computational realisation of conceptual blending, and we exemplify this by concretising our model to computational conceptual blends for various representation formalisms and application domains.

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Section: Discussionmentioning

confidence: 99%

A uniform model of computational conceptual blending

Schorlemmer

Plaza

2021

Cognitive Systems Research

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“…:IS_Profile The :IS_Profile class is used as in [38] and [65] to describe the collection of IS which are activated by some entity, sentence, situation or event. One of the relevant future developments stemming from our work is the automatic extraction of the image schema profile and the investigation of the conceptual nature of relations among IS in such a collection.…”

Section: Imageschemanet Classesmentioning

confidence: 99%

ImageSchemaNet: A framester graph for embodied commonsense knowledge

Giorgis

Gangemi

Gromann

2022

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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 from the subjective perception of the external world, it is intrinsically intertwined with embodied cognition. Commonsense reasoning is linked to human sense-making, pattern recognition and knowledge framing abilities. This work presents a new resource that formalizes the cognitive theory of image schemas. Image schemas are dynamic conceptual building blocks originating from our sensorimotor interactions with the physical world, and enable our sense-making cognitive activity to assign coherence and structure to entities, events and situations we experience everyday. ImageSchemaNet is an ontology that aligns pre-existing resources, such as FrameNet, VerbNet, WordNet and MetaNet from the Framester hub, to image schema theory. This article describes an empirical application of ImageSchemaNet, combined with semantic parsers, on the task of annotating natural language sentences with image schemas.

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“…One difficult issue is to understand the nature of complex concepts and events, but humans seem to be able to overcome such challenges with little thought or effort (Hedblom, Kutz, Peñaloza, & Guizzardi, 2019). How do they do this?…”

Section: Image Schemamentioning

confidence: 99%

Integration of Content Instruction and Language Instruction in the Movie English Classroom: On the Basis of Embodiment, Image Schemas, and Metaphors

Im¹

2021

J Eng Tech Movie Media

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The purpose of this paper is to suggest a method to integrate both content instruction and language instruction when a teacher uses a movie in an EFL classroom. In order to do this, three concepts were used: embodiment, image schemas, and metaphors. The film Love, Rosie (Ditter, 2014) was chosen, with 4 scenes from the movie analyzed in terms of embodiment, image schemas, and metaphors. The results indicate that there are possibilities to integrate the two instructions harmoniously. First, each utterance consists of concrete concepts and abstract ones. In particular, abstract concepts are explained by way of concrete ones, which naturally allows learners to understand a movie script easily. Second, image schemas can be an appropriate tool to see through the degree of intensity of characters' emotional states. This phenomenon makes learners understand relationships among characters and consequently enjoy the whole movie story. Third, learners can have a special experience with language learning. Embodiment, image schemas, and metaphors allow learners to see the language based on meaning, leading to enjoyment. Fourth, analysis of utterances in this paper based on the three concepts show how the salience of language pieces can be enhanced. In conclusion, a teacher can realize how to deal with content and language in the Movie English classroom with this approach.

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Image Schema Combinations and Complex Events

Cited by 20 publications

References 56 publications

A uniform model of computational conceptual blending

A uniform model of computational conceptual blending

ImageSchemaNet: A framester graph for embodied commonsense knowledge

Integration of Content Instruction and Language Instruction in the Movie English Classroom: On the Basis of Embodiment, Image Schemas, and Metaphors

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