User-centered design for knowledge imbalance analysis: A case study of ProWD

Nadyah Hani Ramadhana, Fariz Darari, Panca O. Hadi Putra, Werner Nutt, Simon Razniewski, Refo Ilmiya Akbar

Research output: Contribution to journalConference articlepeer-review


Not all topics within a knowledge graph are represented at the same depth, which might lead to biased conclusions derived from the graph. Tools have been created in an effort to highlight knowledge imbalances, one of which is ProWD, built to analyze imbalances in the Wikidata knowledge graph. However, as often found, the usability aspect of Semantic Web tools is commonly overlooked, resulting in their limited acceptance. In this paper, we utilize the standard approach to improve usability, i.e., the User-Centered Design (UCD), for ProWD. We employ the full range of steps of UCD to improve the user experience of ProWD despite the complex nature of knowledge graph concepts underlying ProWD. The result of the ProWD redesign is then evaluated using the System Usability Scale (SUS) and User Experience Questionnaire (UEQ) scores, as well as the task success rate and completion time, suggesting that the overall usability of ProWD has successfully improved.

Original languageEnglish
Pages (from-to)14-27
Number of pages14
JournalCEUR Workshop Proceedings
Publication statusPublished - 2020
Event5th International Workshop on Visualization and Interaction for Ontologies and Linked Data, VOILA 2020 - Virtual, Athens, Greece
Duration: 2 Nov 2020 → …


  • Knowledge Imbalance
  • User-Centered Design
  • Wikidata


Dive into the research topics of 'User-centered design for knowledge imbalance analysis: A case study of ProWD'. Together they form a unique fingerprint.

Cite this