Using Perceptual Syntax to Enhance Semantic Content in Diagrams

Abstract

Diagrams are essential in documenting large information systems. They capture, communicate, and leverage knowledge indispensable for solving problems and act as cognitive externalizations (intertwining internal and external processes to extract information from the external world to enhance thought). A diagram provides a mapping from the problem domain to the visual representation by supporting cognitive processes that involve perceptual pattern finding and cognitive symbolic operations. However, not all mappings are equal, and for effectiveness we must embed a diagram's representation with characteristics, which lets users easily perceive meaningful patterns. Consequently, a diagram's effectiveness depends to some extent on how well we construct it as an input to our visual system. In our research, we focus on a class of diagrams commonly referred to as graphs or node-link diagrams. Nodes representing entities, objects, or processes, and links or edges representing relationships between the nodes characterize them. Their most common form is outline circles or boxes denoting nodes and lines of different types representing links between the nodes. Entity-relationship diagrams, software structure diagrams, and data-flow models are examples of node-link diagrams used to model the structure of processes, software, or data

Department

Center for Coastal and Ocean Mapping

Publication Date

9-2001

Volume

21, Number 5

Journal Title

IEEE Computer Graphics and Application

Pages

76-85

Publisher Place

Washington DC, USA

Publisher

IEEE

Digital Object Identifier (DOI)

10.1109/38.946634

Document Type

Journal Article

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