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Constraint-basierte Verarbeitung graphischen Wissens

  • Conference paper
Verteilte Künstliche Intelligenz und kooperatives Arbeiten

Part of the book series: Informatik-Fachberichte ((2252,volume 291))

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Zusammenfassung

Bei der Entwicklung neuerer intelligenter Benutzerschnittstellen, die wie im Beispiel des multimodalen Präsentationssystems WIP natürliche Sprache und Graphik kombinieren, spielt insbesondere die wissensbasierte Gestaltung des Layouts multimodaler Dokumente eine wichtige Rolle. Am Beispiel des Layout-Managers in WIP soll gezeigt werden, wie aufgrund der von einem Präsentationsplaner spezifizierten semantischen und pragmatischen Relationen, die von den media-spezifischen Generatoren erzeugten Graphik- und Textfragmente in einem Dokument automatisch arrangiert werden können. Dabei wird das Layoutproblem als Constraint-Satisfaction-Problem behandelt. Es wird hier gezeigt, wie der Constraint-Ansatz sowohl zur Repräsentation von graphischem Wissen, als auch zur Berechnung der Plazierung der Layout-objekte auf einem Design-Grid verwendet werden kann. So werden semantische Kohärenzrelationen wie etwa ‘sequence’ oder ‘contrast’ durch entsprechende Design-Constraints reflektiert, die perzeptuelle Kriterien (Alignierung, Gruppierung, Symmetrie, etc.) spezifizieren. Zur Realisierung wird in WIP ein mehrschichtiger inkrementeller Constraint-Solver mit lokaler Propagierung verwendet, der es erlaubt, Constraints dynamisch zu generieren.

Die vorliegende Arbeit entstand im Rahmen des vom BMFT unter dem Förderkennzeichen ITW 8901 8 geförderten Projektes WIP (Wissensbasierte Informationspräsentation)

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Graf, W., Maaß, W. (1991). Constraint-basierte Verarbeitung graphischen Wissens. In: Brauer, W., Hernández, D. (eds) Verteilte Künstliche Intelligenz und kooperatives Arbeiten. Informatik-Fachberichte, vol 291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76980-1_22

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  • DOI: https://doi.org/10.1007/978-3-642-76980-1_22

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