Science gateways with embedded ontology-based e-learning support

Tamas Kiss, Alexander Bolotov, Gabriele Pierantoni, James DesLauriers, Abdelkhalik Mosa, Dimitrios Kagialis, Gabor Terstyanszky, David Chan

Research output: Contribution to conferencePaperpeer-review


Science gateways are widely utilised in a range of scientific disciplines to provide user-friendly access to complex distributed computing infrastructures. The traditional approach in science gateway development is to concentrate on this simplified resource access and provide scientists with a graphical user interface to conduct their experiments and visualise the results. However, as user communities behind these gateways are growing and opening their doors to less experienced scientists or even to the general public as “citizen scientists”, there is an emerging need to extend these gateways with training and learning support capabilities. This paper describes a novel approach showing how science gateways can be extended with embedded e-learning support using an ontology-based learning environment called Knowledge Repository Exchange and Learning (KREL). The paper also presents a prototype implementation of a science gateway for analysing earthquake data and demonstrates how the KREL can extend this gateway with ontology-based embedded e-learning support.
Original languageEnglish
Number of pages7
Publication statusPublished - 12 Jun 2020
Event12th International Workshop on Science Gateways -
Duration: 10 Jun 202012 Jun 2020


Conference12th International Workshop on Science Gateways


  • science gateways
  • embedded e-learning
  • big data analytics
  • ontologies


Dive into the research topics of 'Science gateways with embedded ontology-based e-learning support'. Together they form a unique fingerprint.

Cite this