A Model-Driven Approach for Visualisation Processes

Rebecca Morgan, Georg Grossmann, Michael Schrefl, Markus Stumptner

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

With the digital transformation of industries as proposed by Industry~4.0, there will be an increased amount of data collected and exchanged between enterprise systems. Software developers and domain experts are exposed to complex data specifications when dealing with enterprise interoperability. It is a major challenge to understand standards specifications and ensure interoperability in an increasing connected world. In this paper we propose the unique combination of model-driven techniques and interactive data visualisation to simplify the understanding by exploring specifications and data visually without the need to program up front. With our proposed approach it is possible to model and execute interactions of end users with different types of visualisation in a visualisation process. Compared to existing work the advantages of this presented approach are (1) a model-driven tool-independent solution that clearly separates data navigation from change of presentation for increased re-usability and (2) combines them in a visualisation process that (3) can be modelled and executed without the need of programming.
Original languageEnglish
Title of host publicationProceedings of the 15th Asia-Pacific Conference on Conceptual Modelling (APCCM 2019), Sydney, Australia, 29.-31. January 2019 co-located with the Australasian Computer Science Week (ACSW 2019)
PublisherACM Press
Number of pages10
VolumeArticle No. 55
ISBN (Print)978-1-4503-6603-8
DOIs
Publication statusPublished - Jan 2019

Fields of science

  • 102 Computer Sciences
  • 102010 Database systems
  • 102015 Information systems
  • 102016 IT security
  • 102025 Distributed systems
  • 102027 Web engineering
  • 102028 Knowledge engineering
  • 102030 Semantic technologies
  • 102033 Data mining
  • 102035 Data science
  • 502050 Business informatics
  • 503008 E-learning

JKU Focus areas

  • Digital Transformation

Cite this