Visual logics help people: An evaluation of diagrammatic, textual and symbolic notations.

Symposium on Visual Languages and Human Centric Computing VL HCC(2017)

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摘要
Our aim is to provide empirical evidence that diagrammatic logics are more effective than symbolic and textual logics in allowing people to better understand information. Ontologies provide an important focus for such an empirical study: people need to understand the axioms of which ontologies comprise. A between-groups study compared six frequently-used axiom types using the (textual) Manchester OWL Syntax (MOS), (symbolic) description logic (DL) and concept diagrams. Concept diagrams yielded significantly better task performance than DL for all six, and MOS for four, axiom types. MOS outperformed concept diagrams for just one axiom type and DL for only three axiom types. Thus diagrams could ensure ontologies are developed more robustly.
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关键词
visual logics,diagrammatic notations,textual notations,symbolic notations,diagrammatic logics,symbolic logics,textual logics,empirical study,axiom type,Manchester OWL Syntax,MOS,concept diagrams,ontologies,description logic
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