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Using VizDSL for Modelling Visualization Processes

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

Information collection and exchange between different domains is challenging due to the complex nature of modern enterprise systems. Visualization is used to increase understanding and communicability, however, creating visualizations of complex information poses significant challenges in itself, especially for non-IT users. As a solution to this problem, we have created VizDSL, a graphical domain specific language for modelling and executing interactive visualizations. In this demonstration, we show how VizDSL can be used to model and execute interactive visualizations of complex data specifications, from a variety of data sources including schema and instance data, without requiring any significant programming expertise. We demonstrate how VizDSL can be used to create a variety of visualization types as part of a single visualization process. Conference participants will benefit from attendance at this demonstration by increased understanding of how taking a model-driven approach to visualization could be applied to their own information domain and potential use cases.
OriginalspracheEnglisch
TitelProceedings of the 2018 IEEE 22nd International Enterprise Distributed Object Computing Workshop (EDOCW 2018), October 16-19, 2018, Stockholm, Schweden
Erscheinungsorthttps://ieeexplore.ieee.org/document/8536125
VerlagIEEE
Seiten212-215
Seitenumfang4
ISBN (elektronisch)9781538641415
DOIs
PublikationsstatusVeröffentlicht - 14 Nov. 2018

Publikationsreihe

NameProceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW
Band2018-October
ISSN (Print)1541-7719

Wissenschaftszweige

  • 102 Informatik
  • 102010 Datenbanksysteme
  • 102015 Informationssysteme
  • 102016 IT-Sicherheit
  • 102025 Verteilte Systeme
  • 102027 Web Engineering
  • 102028 Knowledge Engineering
  • 102030 Semantische Technologien
  • 102033 Data Mining
  • 502050 Wirtschaftsinformatik
  • 503008 E-Learning

JKU-Schwerpunkte

  • Computation in Informatics and Mathematics
  • Management and Innovation

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