# Sven Lieber > researcher in the domain of FAIR data and Knowledge Graphs **Wikidata**: [Q59469449](https://www.wikidata.org/wiki/Q59469449) **Source**: https://4ort.xyz/entity/sven-lieber ## Summary Sven Lieber is a German researcher specializing in FAIR data and Knowledge Graphs, known for his work at Ghent University and the Royal Library of Belgium. A computer scientist by training, he contributes to semantic web technologies, data quality, and library science, with a focus on improving data interoperability and accessibility. ## Biography - **Born**: 1988-04-25, Balingen, Germany - **Nationality**: Germany - **Education**: - Bachelor of Engineering, Albstadt-Sigmaringen University (2009–2013) - Master of Science, University of Freiburg (2013–2016) - Doctor of Philosophy, Ghent University (2016–2022; thesis: *Assessing, Creating and Using Knowledge Graph Restrictions*) - **Known for**: Advancing FAIR data principles and Knowledge Graph applications in cultural heritage and semantic web domains. - **Employer(s)**: - Royal Library of Belgium (2021–present) - Ghent University (2016–2021) - science+computing ag (2011–2016) - **Field(s)**: Computer science, Semantic Web, library science, data quality. ## Contributions Sven Lieber has conducted research at the intersection of Knowledge Graphs and FAIR data, emphasizing standardized data management practices. His PhD thesis (2022) introduced frameworks for assessing and implementing Knowledge Graph restrictions, impacting semantic web interoperability. He has participated in key conferences such as the International Semantic Web Conference (ISWC), Extended Semantic Web Conference (ESWC), and ACM Web Science, contributing to discussions on data quality and Linked Open Data. As a data manager at the Royal Library of Belgium, he applies these principles to cultural heritage datasets, enhancing their accessibility and reuse. His work aligns with EU initiatives like the Common European Vocational Competence Framework for Cultural Heritage (CCCEV), demonstrating practical applications of semantic technologies in institutional settings. ## FAQs ### Q: Where does Sven Lieber currently work? A: He is employed by the Royal Library of Belgium (since 2021) and previously worked at Ghent University (2016–2021). ### Q: What is Sven Lieber’s academic background? A: He holds a PhD from Ghent University (2022), a Master’s from the University of Freiburg (2016), and a Bachelor’s from Albstadt-Sigmaringen University (2013). ### Q: What are Sven Lieber’s primary research interests? A: His work focuses on FAIR data, Knowledge Graphs, Semantic Web technologies, and data quality, particularly in cultural heritage contexts. ## Why They Matter Sven Lieber’s research bridges theoretical semantic web concepts with practical data management challenges, influencing how institutions like libraries and cultural organizations structure and share data. His contributions to Knowledge Graph standardization and FAIR compliance have improved interoperability across domains, supporting initiatives like Europeana and Linked Open Data. Collaborations with experts such as Ruben Verborgh and Anastasia Dimou further underscore his role in advancing decentralized web technologies and semantic interoperability. ## Notable For - PhD thesis on Knowledge Graph restrictions (2022). - Data management leadership at the Royal Library of Belgium. - Participation in major semantic web conferences (ESWC, ISWC, Web Science). - Advocacy for FAIR principles in cultural heritage datasets. - Membership in professional organizations like VDI and the Association for Electrical, Electronic and Information Technologies. ## Body ### Career Sven Lieber began his career at science+computing ag (2011–2016), transitioning to research roles at Ghent University (2016–2021) and the Royal Library of Belgium (2021–present). His work at IMEC (2021) focused on doctoral research in Knowledge Graphs. ### Research Focus - **Knowledge Graphs**: Developed frameworks for assessing and applying graph restrictions to ensure data consistency. - **FAIR Data**: Promoted interoperability and reuse of cultural heritage data through standardized metadata practices. - **Semantic Web**: Contributed to decentralized web technologies and Linked Open Data initiatives. ### Professional Engagement - **Conferences**: Presented at ESWC 2018, ISWC 2019, and ACM Web Science 2021. - **Events**: Participated in the 2022 workshop *Linked Data and International Standards for Cultural Heritage*. - **Advisory Roles**: Advised on the evolution of the CCCEV framework (2019 webinar). ### Publications & Tools - **PhD Thesis**: *Assessing, Creating and Using Knowledge Graph Restrictions* (2022, Ghent University). - **Software**: Contributed to open-source tools for Knowledge Graph validation and FAIR compliance. ### Education & Training - **Bachelor’s**: Engineering degree from Albstadt-Sigmaringen University (2013). - **Master’s**: Computer science focus at the University of Freiburg (2016). - **PhD**: Supervised by Anastasia Dimou and Ruben Verborgh at Ghent University (2022). ### Personal - **Languages**: German (native), English, Dutch. - **Residence**: Based in Ghent (2016–2025) and Merelbeke-Melle (2025–present). - **Digital Presence**: Active on Mastodon (@SvenLieber@hcommons.social) and GitHub (SvenLieber). ## References 1. WikiTree 2. [Source](https://researchportal.be/en/researcher/sven-lieber) 3. ORCID Registry 4. LinkedIn 5. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-7304-3787/employment/15309612) 6. [Source](https://biblio.ugent.be/publication/8745750) 7. [Source](https://sven-lieber.org/en) 8. [Source](https://sven-lieber.og/en) 9. [Source](https://joinup.ec.europa.eu/collection/semantic-interoperability-community-semic/event/webinar-cccev-evolution-past-present-and-future-25-june-2019-1000-1130-cest) 10. [Source](https://swib.org/swib22/programme.html) 11. [Source](https://www.nfdi.de/cordi-2023/) 12. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-7304-3787/researcher-urls/945968) 13. [Source](https://www.heise.de/select/ix/2016/9/1472808098106517)