Multilinguality in voice activated information services: The P502 EURESCOM project

Azevedo, J.; Beires, N.; Charpentier, F.; Farrell, M.P.; Johnston, Denis; LeFlour, E.; Micca, G.; Militello, S.; Schroeder, Kaiya

doi:10.1016/s0167-6393(99)00069-2

Cited by 1 publication

(1 citation statement)

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“…The aforementioned geovisualization application construction environments draw from information visualization application construction environments like like the InfoVis Toolkit (Fekete 2003), the Visualization Toolkit (VTK) (Azevedo et al 2000), and prefuse (Heer et al 2005) provide libraries of ready-to-use components that can be assembled and extended by software developers. Additional motivation for our work on the GVT is to couple coordinated, interactive geovisual representations with advanced spatial analysis techniques.…”

Section: Introductionmentioning

confidence: 99%

The geoviz toolkit: using component-oriented coordination methods for geographic visualization and analysis

Hardisty

Robinson

2011

International Journal of Geographical Information Science

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In this paper we present the GeoViz Toolkit, an open-source, internet-delivered program for geographic visualization and analysis that features a diverse set of software components which can be flexibly combined by users who do not have programming expertise. The design and architecture of the GeoViz Toolkit allows us to address three key research challenges in geovisualization: allowing end users to create their own geovisualization and analysis component set on-the-fly, integrating geovisualization methods with spatial analysis methods, and making geovisualization applications sharable between users. Each of these tasks necessitates a robust yet flexible approach to inter-tool coordination. The coordination strategy we developed for the GeoViz Toolkit, called Introspective Observer Coordination, leverages and combines key advances in software engineering from the last decade: automatic introspection of objects, software design patterns, and reflective invocation of methods.

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Section: Introductionmentioning

confidence: 99%