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An image schema (both schemas and schemata are used as plural forms) is a recurring structure within our cognitive processes which establishes patterns of understanding and reasoning. As an understudy to embodied cognition, image schemas are formed from our bodily interactions, from linguistic experience, and from historical context. The term is…
The analysis highlights Relationships to similar theories, Formal specification of image schemas and role in artificial intelligence and Overview as prominent areas in the source structure around Image schema.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Image schema shows recurring relationship patterns in the source. For example, Image schema → Andrea, Anna Wierzbicka's, Brugman, Eve Sweetser, For, In, Jean, Johnson, Kant's, Lakoff's, Langacker's, Len Talmy, Leonard Talmy's, Mandler's, Max Wertheimer's, Other, Roger Schank, Ronald Langacker, Susan Lindner, Talmy Another extracted example is Image schema → Claudia Brugman, Dangerous Things, English, Fire, For, Furthermore, In, Johnson, Lakoff, Moreover, Similar, Spider-Man, This, Women. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
image schemas cognitive schema linguistics spatial also embodied johnson used conceptual containment theory structure lakoff reasoning artificial psychology patterns describe
TTTA extracted 76 structured relationships around Image schema. Examples in this analysis include the Containment schema → instance of → The train started out for Chicago.Experientially basic and primarily spatial image schemas and whether the trajector was in contact with the landmark or not → instance of → these six schemas could be both further specified by other spatial schemas. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| the Containment schema | instance of | The train started out for Chicago.Experientially basic and primarily spatial image schemas | 0.80 | text |
| its derivatives the Out schemas lend their logic to non-spatial situations | instance of | The train started out for Chicago.Experientially basic and primarily spatial image schemas | 0.80 | text |
| whether the trajector was in contact with the landmark or not | instance of | these six schemas could be both further specified by other spatial schemas | 0.80 | text |
| rotational schemas | instance of | image schemata | 0.80 | text |
| path to object mass | instance of | image schemata | 0.80 | text |
| as in Spider-Man climbed all over the wall | instance of | image schemata | 0.80 | text |
| Eve Sweetser | instance of | as used by linguists | 0.80 | text |
| commonsense reasoning | instance of | This is extended to also include non-linguistic reasoning | 0.80 | text |
| Image schema | related to Formal specification of image schemas and role in artificial intelligence | While | 0.60 | section |
| Image schema | related to Formal specification of image schemas and role in artificial intelligence | The | 0.60 | section |
| Image schema | related to Formal specification of image schemas and role in artificial intelligence | As | 0.60 | section |
| Image schema | related to Formal specification of image schemas and role in artificial intelligence | This | 0.60 | section |
The concept neighborhoods around Image schema bring nearby vocabulary together. In this analysis, examples include Schemas, Schema and Containment. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Image schema, one of the stronger structural bridges in this analysis connects Image schema with Relationships to similar theories. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Image schema to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Relationships to similar theories, Formal specification of image schemas and role in artificial intelligence & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Image schema · EN edition · Analysis: TopicsToTalkAbout