We read column headers as semantic signposts - so data quality issues reveal themselves fast and explainably.
HeadersIQ updates
Interactive demonstration
The latest HeadersIQ prototype can now be accessed directly through a web browser. The Code Runner provides an interactive way to submit data, execute the header-centric analysis, inspect the inferred semantic formats, and review the resulting Data Quality Assessment outputs without installing the application locally.
QKG@ESWC 2026
Our second paper, An Explainable Header-Centric Framework for Large-Scale Semantic Table Interpretation and Data Quality Assessment, was presented at the Workshop on Quality of Knowledge Graphs, co-located with the European Semantic Web Conference - ESWC 2026, and it was selected as one of four finalists for the Best Paper Award!
Curtin University EECMS HDR Forum
The IEEE/ACM BDCAT 2024 paper, Attribute-Based Semantic Type Detection and Data Quality Assessment, received an Honourable Mention at the inaugural Curtin EECMS HDR Forum.
NotebookLM media
Watch the six-minute video overview or listen to the extended NotebookLM conversation about the research.
The research is currently entering its final PhD stage. The latest prototype is now publicly available through the interactive HeadersIQ Code Runner.
