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Constraint Matching for Diagram Design: Qualitative Visual Languages
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Constraint Matching for Diagram Design: Qualitative Visual Languages
Ana von Klopp Lemon4 and Oliver von Klopp Lemon5 
| (4) |
Sun Microsystems, 901 San Antonio Road, Palo Alto, CA, 94303 |
| (5) |
Center for the Study of Language and Information, Stanford University, CA, 94305 |
Abstract
This paper examines diagrams which exploit qualitative spatial relations (QSRs) for representation. Our point of departure
is the theory that such diagram systems are most effective when their formal properties match those of the domains that they
represent (e.g. [ 1, 2, 3]). We argue that this is true in certain cases (e.g. when a user is constructing diagrammatic representations of a certain
kind) but that formal properties cannot be studied in isolation from an account of the cognitive capacities of diagram users
to detect and categorize diagram objects and relations.
We discuss a cognitively salient repertoire of elements in qualitative visual languages, which is different from the set of
primitives in mathematical topology, and explore how this repertoire affects the expressivity of the languages in terms of
their vocabulary and the possible spatial relations between diagram elements.
We then give a detailed analysis of the formal properties of relations between the diagram elements. It is shown that the
analysis can be exploited systematically for the purposes of designing a diagram system and analysing expressivity. We demonstrate
this methodology with reference to several domains, e.g. diagrams for file systems and set theory (see e.g. [4]).
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