Download e-book for kindle: Diagrammatic Representation and Inference: 7th International by Catherine Plaisant (auth.), Philip Cox, Beryl Plimmer, Peter

By Catherine Plaisant (auth.), Philip Cox, Beryl Plimmer, Peter Rodgers (eds.)

ISBN-10: 3642312225

ISBN-13: 9783642312229

ISBN-10: 3642312233

ISBN-13: 9783642312236

This publication constitutes the refereed complaints of the seventh foreign convention on conception and alertness of Diagrams, Diagrams 2012, held in Canaterbury, united kingdom, in July 2012.
The sixteen lengthy papers, 6 brief papers and 21 poster abstracts offered have been conscientiously reviewed and chosen from eighty three submissions. The papers are geared up in keynotes, instructional, workshops, graduate scholar symposium and topical sections on mental and cognitive concerns, diagram structure, diagrams and information research, Venn and Euler diagrams, reasoning with diagrams, investigating aesthetics, functions of diagrams.

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Additional info for Diagrammatic Representation and Inference: 7th International Conference, Diagrams 2012, Canterbury, UK, July 2-6, 2012. Proceedings

Sample text

For example, in Figure 11 the Gap-Comparison-Single message category node is instantiated for every possible group entity instantiation in Figure 5. The value for the Salient Gap evidence node will be positive only for the instantiated node Gap-Comparison-Single(within-groups, 1st). 2 Extracting Evidence The evidence provided by visual communicative signals (such as whether a group of bars is colored differently from the other bars) is automatically extracted from the XML representation of a graphic and entered into evidence nodes.

Inferences involving frequency were more accurate when frequency was mapped to the continuous representations, distance and thickness, compared with when it was mapped to the categorical aspect of containment. The opposite held for making inferences involving inclusion or group membership, where containment (but also thickness) led to superior performance. Thickness was actually used as a binary variable in the present graphs, encouraging a categorical interpretation. For preference judgments, containment was preferred to represent grouping; this was predicted because both relationships are categorical.

ISMIS 2005. LNCS (LNAI), vol. 3488, pp. 660–668. Springer, Heidelberg (2005) 6. : Using Language. Cambridge University Press (1996) 7. : Exploring and exploiting the limited utility of captions in recognizing intention in information graphics. In: Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics, pp. 223–230 (2005) 8. : Communicative signals as the key to automated understanding of bar charts. In: Proceedings of the International Conference on the Theory and Application of Diagrams (2006) 9.

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Diagrammatic Representation and Inference: 7th International Conference, Diagrams 2012, Canterbury, UK, July 2-6, 2012. Proceedings by Catherine Plaisant (auth.), Philip Cox, Beryl Plimmer, Peter Rodgers (eds.)


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