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    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Visualising Image Schemas: A Preliminary Look at the Diagrammatic Image Schema Language (DISL)</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Maria M.Hedblom</string-name>
          <email>maria.hedblom@ju.se</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>FabianNeuhaus</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Jönköping Artificial Intelligence Laboratory, Jönköping University</institution>
          ,
          <country country="SE">Sweden</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Research Group Theoretical Computer Science, Otto-von-Guericke University Magdeburg</institution>
          ,
          <country country="DE">Germany</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>The Sixth Image Schema Day</institution>
          ,
          <addr-line>ISD6</addr-line>
        </aff>
      </contrib-group>
      <abstract>
        <p>In this extended abstract, we present the Diagrammatic Image Schema LanDgIuSLa)g.eD(ISL is a structured visual language to represent image-schematic relationships in diferent situations and linguistic expressions. Building on previous visualisation research, as well as how image schemas can be ontologically organisDeIdS,L ofers a more systematic representation language for abstract concepts than previously possible. In particular, we discuss some of the underlying motivations and design decisions forDISL and introduce the conceptual primitives that are covDerISeLd. bTyheir use is illustrated with the classic example oOfbject_Into_Container.</p>
      </abstract>
      <kwd-group>
        <kwd>image schemas</kwd>
        <kwd>theory graphs</kwd>
        <kwd>conceptual primitives</kwd>
        <kwd>conceptual visualisation</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>Image schemas are mental patterns learned from perceptual experiences that map embodied,
spatiotemporal relationships onto conceptual constru1c].tiDoensspi[te their name, image
schemas are not images, but cognitive gestalts whose cognitive structure can be visualised
through mental imagery and, thus, can be illustrated diagrammatically. They capture the
conceptual information of relationships between objects and their environments with commonly
mentioned examples being concepts suchCaosntainment, Support andSource_Path_Goal.</p>
      <p>In cognitive linguistics, the underlying information in image schemas is occasionally explained
with the help of illustrations, which show the salient features of a given image schema. Notable
mentions are the work of Johnson’s introductory illustr1a],ttihoensim[age-schematic drawings
by Mandler2[], Hurtienne et al3.][and Talmy’s visual representations of force-dynam4]i,cs [
and the rather comprehensive visual grammar used to describe linguistic relationships by
Langacker 5[]. Work like these, demonstrate the desire for a visual language to illustrate
the semantic content of the image schemas. However, it also showcases the complexity of
such endeavours as diferent representation methods more often than not are visually disjoint.
Additionally, these representations of image schemas in the literature are typically ad hoc in
the sense that there appear to be no general principles that guide these illustrations.</p>
      <p>To address this issue, we develop the Diagrammatic Image Schema LangDuIaSgLe).(Used
for the diagrammatic representation of image schemas, it focuses on systematising the visual
combinations rulesD. ISL takes inspiration from previous visualisations of image schemas
and combines it with the research on how image schemas can be divided into compositional
primitives 6[] and the research that showcase how based on the primitives the image schemas
can be structured into hierarchical family gr7,a8p]h. sT[ogether this foundation ofers a more
systematic and compositional methodology to represent both individual image schemas as well
as the events that take place with them.</p>
      <p>
        In order to represent the image schemDaISs,L defines a set of symbols for the representation
of some conceptual primitives, the recurring building blocks of image schemas, and further
defines principles how to compose an image schema from these components into spatial stories.
This means thaDtISL can be used to analyse complex events and diagrammatically show how
diferent image schemas interact with one another in real-life scenarios. We believe this to be
beneficial for many areas, not the least in research on cognitive interpretations of visual
imageschematic metaphors (e.g9][), research on spatial expressions and configurations (1e0.g]). a[nd
research in cognitive robotics on events and action segmentation based on image-schematic
reasoning (e.g.1[
        <xref ref-type="bibr" rid="ref1">1, 12</xref>
        ]).
      </p>
      <p>The purpose of this paper is to provide a preliminary view of the approach we have taken,
show a selection of conceptual primitives that we have chosen, show their diagrammatic
representation, and illustrate their use with an example.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Image Schemas and Their Compositions</title>
      <p>
        Human conceptualisations rely partially on recurring and embodied patterns of
spatiotemporal relationships, which are often referred tiomagse schemas [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. Mandler defines image
schemas as “...dynamic analog representations of spatial relations and movements i2n, space” [
p. 591]. Further the conceptual structure within the image schemas can be divided into smaller
components. In 1[
        <xref ref-type="bibr" rid="ref3">3</xref>
        ], Mandler and Cánovas introduce the following distinction:
Spatial primitives are the first building blocks that allow us to understand what we perceive,
e.g., Container, Contact, Open.
      </p>
      <p>Image schemas are representations of simple spatial events using the primitivOesb,-e.g.,
ject_Into_Container.</p>
      <p>Schematic integrations are conceptual representations to include non-spatial elements, by
projecting feelings or non-spatial perceptions to blends structured by image schemas,
e.g., Blocked_Motion.</p>
      <p>This distinction allows to represent image schemas as temporal stories with diferent ‘parts.’
However, many traditional image schemas do not represent temporal stories in that they contain
an (obvious) change over timSeu. pport is one such example, that while a temporal dimension
is needed to determine the physical stability of the supporting object, it is still possible to
identifySupport in an instance. To account for these ‘static manifestations of image schemas’
we extend the classification i1n3[] as follows:
Primitive amalgamation The integration of several conceptual primitives into a whole
representing a static combination of entities, their relationships and attrSiubupptoers,te..g.,
The diference between image schemas and conceptual primitives is of particular interest to
the work in this paper, as it relies on how spatial primitives provide the elements that are used
to create thDeISL diagrams. However, as the three examples for spatial primitives mentioned
above (namelyC,ontainer, Contact, Open) illustrate, conceptual primitives are a divers group
of structures, which play diferent roles within image schemas. If we consider image schemas
as kind of ‘spatial stories’, then some conceptual primitives play the role of the ‘characters’,
or predicates in linguistics, (e.g.,Oabnject and aContainer), some conceptual primitives
describe the relationships between the ‘characters’ (eO.gb.j,etchteis Contained inside the
Container), and some attributes of the ‘characters’ (e.gC.,otnhteainer is Open). The image
schema unfolds as ‘characters’ enter or leave the stage, and their relationships and attributes
change over time. Since the diferent roles of the conceptual primitives determine their roles in
the diagrammatic representation, we suggest to further classify them as follows:
Independent primitives may occur in an image schema independently of other primitives,
e.g., Object, Container, Path, Spatial Region.</p>
      <p>Relational primitives define the relationship between two (or more) independent primitives,
e.g., Contact, Link, Contained. They are dependent on their relata in the sense that
they cannot be present without the independent primitives they relate.</p>
      <p>Attributive primitives define attributes of another conceptual primitiveO,ep.egn.,/Closed
are attributes oCfaontainer’s openings andMoving andAt_Rest are attributes of
Objects.</p>
      <p>Independent, relational and attributive primitives provide the basic building blocks for
composing primitive amalgamations, image schemas and schematic integrations.</p>
    </sec>
    <sec id="sec-3">
      <title>3. Visualising the Primitives</title>
      <p>
        Our diagrammatic representation of image schemas and schematic integrations follows
inspiration from work1[
        <xref ref-type="bibr" rid="ref4">4, 15</xref>
        ] that utilise the narrative conventions of comic strips. Comic strips utilise
a sequence of panels to tell a narrative in a condensed form. An individual panel represents
either a moment in time or some extended time period without significant qualitative change.
In DISL, an individual panel either visualises a conceptual primitive or a schematic integration
of several conceptual primitives. A sequence of these panels is utilised to represent dynamic
change and, thus, represent image schemas or schematic integrations. Inspired by Langacker’s
boxed representations of the transition of image schema s5t],awteesu[se similar stylistic
elements to characterise image-schematic narratives.
      </p>
      <p>In this section, we present an overview of the conceptual primitives that we currently selected
forDISL and their symbolic representations.</p>
      <sec id="sec-3-1">
        <title>3.1. Independent primitives</title>
        <p>Independent conceptual primitives are the cognitive primitives that can be added to a panel
without requiring the existence of another primitive.</p>
        <p>
          Figure1 contains an overview of the symbolic representations of these independent cognitive
primitives. Following convention (e1.g]).,[we represent objects as shapes with solid matter by
adding colours and borders, Ptahteh is a line, following Johnson’s and Mandler’s depictions
[
          <xref ref-type="bibr" rid="ref1 ref2">1, 2</xref>
          ].
        </p>
      </sec>
      <sec id="sec-3-2">
        <title>3.2. Relational primitives</title>
        <p>Relational conceptual primitives express the relationship between two independent conceptual
primitives. A basic spatial primitiveLoiscation, which is the relationship between some
object and the region of space it occupies within the context of a scene (including other objects).
Location is represented within a panel by the way the object is located within the frame of
the panel in the context of other independent conceptual primitives (e.g., objects and paths). In
Figure2, some relational primitives are depicted.</p>
      </sec>
      <sec id="sec-3-3">
        <title>3.3. Attributive primitives</title>
        <p>In Figure3, the attributive primitives are depicted as ‘crowns’ for independent primitives. The
focus lies on discussing attributes that are related tMooetiitohne,rthe embodied experience
of force acting on the body, the force-dynamic primUitmipvhe, or attributesCoofntainers.</p>
        <p>Motion is the attributional conceptual primitive of motion of an object in some directed
form. (Undirected motion, e.g., a trembling animal, would not instManottiiaotne.) Motion is
represented by an arrow, which indicates the trajectory.</p>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>4. Illustration of DISL with an example</title>
      <p>Figure4 illustrates howDinISL the representation of conceptual primitives are combined to
represent image schemas diagrammatically. Individual scenes are represented by panels, which
represent amalgamations of several conceptual primitives. Following Western conventions, the
order of the scenes, from left to right, represent temporal succession.</p>
      <p>The first scene contains onOebject, oneContainer and onePath with an end (an attributive
primitive). TheContainer has an open border. The spatial relations between the primitives are
represented by their representation in the scene, in particuOlbajre:ctthaend theContainer
are disconnected, tOhebject is on thePath, and the end of thPeath is contained within the
Container. Further, thOebject has the image schemaMotion_Along_Path, in the direction
of the end of the path. Thus, the first panel contains symbols for three independent primitives
and three attributional primitives. The next two panels represent other amalgamations that
difer from the previous one by significant qualitative changes of attributes of the independent
primitives or their spatial relations. In the second panOeblj,etchtecrosses the boundary of
theContainer. In the third panel, the object is no longer moving oPnatthhbeut is at rest
contained within tChoentainer. Together, the whole diagram represents the image schema
Object_Into_Container.</p>
      <p>Note thaOtbject_Into_Container leave much information unspecified. E.g., it is possible
that thCeontainer is in motion or at rest, thatOtbhject is moving on its own or that it is
caused to move, that tChoentainer is occupied or that it is full at the end of the process. By
adding additional information in the form of additional primitives, one can refine the information
present in the image schema. For instance, one could rOebfinjeect_Into_Container by
specifying the movement of thCeontainer asCaused_Motion in panels 1 and 2 and specifying
the container aFusll in the third panel. This would yield an image-schematic representation of
something likeContainer_is_Filled.</p>
    </sec>
    <sec id="sec-5">
      <title>5. Discussion and Future Work</title>
      <p>This extended abstract introduced some of the visual components of the Diagrammatic Image
Schemas LanguageD,ISL. We illustrated its use with a help of an example. In the full paper
on DISL, we are going to provide rules that guide the combination of conceptual primitives
into primitive amalgamations, image schemas and schematic integrations. Further, we will
discuss the intended semantics of the symbolic representations of the primitives, and extend
our approach to include some important force primitives. Another important aspect that we
did not address in this abstract is diagrammatic inferencDesISwL.itNhamely, how it follows in
Figure4 that thCeontainer in the third panel is not empty. This too will be addressed in more
extended work.
[8] M. M. Hedblom, Image Schemas and Concept Invention: Cognitive, Logical, and Linguistic</p>
      <p>Investigations, Cognitive Technologies, Springer Computer Science, 2020.
[9] J. M. Cunha, P. Martins, P. Machado, Using image schemas in the visual representation of
concepts., in: TriCoLore (C3GI/ISD/SCORE), 2018.
[10] U.-J. Rüetschi, S. Timpf, Using image schemata to represent meaningful spatial
configurations, in: OTM Confederated International Conferences” On the Move to Meaningful
Internet Systems”, Springer, 2005, pp. 1047–1055.
[11] K. Dhanabalachandran, V. Hassouna, M. M. Hedblom, M. Küempel, N. Leusmann, M. Beetz,
Cutting events: Towards autonomous plan adaption by robotic agents through
imageschematic event segmentation, in: Proceedings of the 11th on Knowledge Capture
Conference, 2021, pp. 25–32.
[12] M. Pomarlan, J. A. Bateman, Embodied functional relations: A formal account combining
abstract logical theory with grounding in simulation, in: Formal Ontology in Information
Systems: Proceedings of the 11th International Conference (FOIS 2020), volume 330, IOS
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[13] J. M. Mandler, C. P. Cánovas, On defining image schemas, Language and Cognition 6
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[14] M. M. Hedblom, O. Kutz, R. Peñaloza, G. Guizzardi, Image schema combinations and
complex events, KI-Künstliche Intelligenz 33 (2019) 279–291.
[15] T. Akimoto, Cogmic space for narrative-based world representation, Cognitive Systems
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    </sec>
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