📖 Introduction
This tutorial offers a comprehensive introduction to data quality in the Semantic Web, combining theory and hands-on practice. It covers quality dimensions, FAIR principles, and their application to Linked Data. Participants engage in interactive activities, explore the KGHeartBeat tool through practical tasks, and reflect on broader quality issues such as bias and its practical implications. It targets researchers, practitioners, and developers seeking both foundational understanding and applied skills in quality-aware Linked Data practices.
🎯 Objectives
- Familiarize with theoretical quality assessment frameworks and how they relate each other rather than being threated as silos.
- Critically evaluate dataset quality through hands-on activities, gaining practical skills in detecting quality issues in real-world Linked Data.
- Reflect on the impact of data quality on downstream tasks such as bias detection and data reuse.
🗓️ Schedule
Stay tuned for details about the day of the tutorial! The schedule will be updated closer to the event date.
- 45 minutes – Theoretical introduction on quality at dataset level
- 45 minutes – Theoretical introduction on quality at data level
- 90 minutes – Hands-on session with KGHeartBeat
- 20 minutes – Introductory KGHeartBeat walkthrough
- 50 minutes – Hands-On Exercises with Real-Time Feedback
- 20 minutes – Wrap-Up and Discussion
👥 Intended Audience
This tutorial is designed for:
- Researchers and PhD students in Semantic Web and Linked Data.
- Data publishers and curators.
- Developers of data quality driven and FAIR-compliant systems.
- Professionals in open science and public sector data initiatives.
🧠 Prerequisites
- Basic understanding of Linked Data concepts.
- No prior experience with KGHeartBeat required.
- Laptop and a mobile phone with Internet access and a modern browser.
🎤 Organizers
Prof. Anisa Rula
University of Brescia, Italy
Prof. Gianluca Demartini
The University of Queensland, Australia
Prof. Maria Angela Pellegrino
Università degli Studi di Salerno, Italy
Gabriele Tuozzo
Università degli Studi di Salerno, Italy
📚 Slides and Materials
All the slides and the materials will be added soon, stay tuned!