Publications and communications of Christophe Debruyne

Debruyne, C., & Dylan Van Assche. (2024). The conformance of an RML processor built from scratch to validate RML specifications and test cases. In Proceedings of the 5th International Workshop on Knowledge Graph Construction co-located with 21th Extended Semantic Web Conference (ESWC 2024), Hersonissos, Greece, May 27, 2024, volume 3718 of CEUR Workshop Proceedings. CEUR-WS.org.

Van Assche, D., & Debruyne, C. (2024). Burping through RML test cases. In Proceedings of the 5th International Workshop on Knowledge Graph Construction co-located with 21th Extended Semantic Web Conference (ESWC 2024), Hersonissos, Greece, May 27, 2024, volume 3718 of CEUR Workshop Proceedings. CEUR-WS.ORG. doi:10.5281/zenodo.11037711

Iglesias-Molina, A., Van Assche, D., Arenas-Guerrero, J., De Meester, B., Debruyne, C., Jozashoori, S., Maria, P., Michel, F., Chaves-Fraga, D., & Dimou, A. (2023). The RML Ontology: A Community-Driven Modular Redesign After a Decade of Experience in Mapping Heterogeneous Data to RDF. In The Semantic Web – ISWC 2023. Springer Nature Switzerland. doi:10.1007/978-3-031-47243-5_9

Sepehri, S., Maushagen, J., Vrijens, G., Debruyne, C., Marcelino Rodrigues, R., Sanctorum, A., De Troyer, O., & Vanhaecke, T. (11 September 2023). Development of the TOXIN Knowledge Graph for assisting animal-free risk assessment of cosmetic ingredient [Poster presentation]. EUROTOX 2023, Ljubljana, Slovenia.

Sanctorum, A., Maushagen, J., Sepehri, S., Vrijens, G., De Kock, J., Vanhaecke, T., De Troyer, O., & Debruyne, C. (2023). Knowledge Management in the Context of Toxicity Testing. In F. P. Garcia Marquez & R. V. Sanchez Loja (Eds.), From Theory of Knowledge Management to Practice. Rijeka, Unknown/unspecified: IntechOpen. doi:10.5772/intechopen.1002341

Chiem Dao, D., Debruyne, C., & Stijfhals, P. (2023). Using Knowledge Graphs and SHACL to Validate Declaration Forms: An Experiment in the Social Security Domain to Assess SHACL's Applicability. In ENDORSE, 2nd EuropeaN Data conference On Reference data and SEmantics ENDORSE 2023 - Virtual event, 14-16 March 2023 - Proceedings (pp. 85-96). Belgium: Publications Office of the European Union.

Sepehri, S., Maushagen, J., Vrijens, G., Debruyne, C., Rodrigues, R. M., Sanctorum, A., De Troyer, O., & Vanhaecke, T. (09 June 2023). Development of the TOXIN Knowledge Graph for Assisting Animal-free Risk Assessment of Cosmetic Ingredients [Paper presentation]. Knowledge Graphs for Data Integration, Diepenbeek, Belgium.

Kearns, A., Debruyne, C., Grehan, L., Colclough, M., & O'Neill, C. (04 May 2023). Debunked: How to Tell Fact from Fiction [Poster presentation]. European Science Engagement Association, EUSEA: Pathfinders on a Mission EUSEA2023.

Debruyne, C., Chiem Dao, D., & Stijfhals, P. (14 March 2023). Using Knowledge Graphs and SHACL to Validate Declaration Forms: an Experiment in the Social Security Domain to Assess SHACL's Applicability [Paper presentation]. The European Data Conference on Reference Data and Semantics (ENDORSE) 2023.

Sepehri, S., Rodrigues, R. M., Delagrange, M., De Kock, J., Sanctorum, A., Maushagen, J., Debruyne, C., De Troyer, O., & Vanhaecke, T. (21 November 2022). Development of an easy-to-use, semantic technology-based knowledge base containing toxicological information of cosmetic ingredients to assist animal-free risk assessment [Poster presentation]. 21st International Congress of the European Society of Toxicology In Vitro (ESTIV) 2022, Sitges, Spain.

Debruyne, C., Munnelly, G., Kilgallon, L., O'Sullivan, D., & Crooks, P. (June 2022). Creating a Knowledge Graph for Ireland's Lost History: Knowledge Engineering and Curation in the Beyond 2022 Project. ACM Journal of Computing and Cultural Heritage, 15 (2), 1-25. doi:10.1145/3474829

Debruyne, C. (2022). Supporting Relational Database Joins for Generating Literals in R2RML. In Proceedings of the 3rd International Workshop on Knowledge Graph Construction (KGCW 2022) co-located with 19th Extended Semantic Web Conference (ESWC 2022), Hersonissos, Greek, May 30, 2022. CEUR-WS.org.

Debruyne, C., Grehan, L., Hurley, M., Kearns, A., & O'Neill, C. (2022). One year of DALIDA Data Literacy Workshops for Adults: A Report. In One year of DALIDA Data Literacy Workshops for Adults: A Report. ACM. doi:10.1145/3487553.3524694

Godden, T.* , De Smet, R.* , Debruyne, C., Vandervelden, T., Steenhaut, K., & Braeken, A. (22 February 2022). Circuitree: A Datalog Reasoner in Zero-Knowledge. IEEE Access, 10, 21384-21396. doi:10.1109/access.2022.3153366
* These authors have contributed equally to this work.

McKenna, L., Debruyne, C., & O'Sullivan, D. (2022). Using linked data to create provenance-rich metadata interlinks: the design and evaluation of the NAISC-L interlinking framework for libraries, archives and museums. AI and Society. doi:10.1007/s00146-021-01373-z

Debruyne, C., & McGlinn, K. (2021). Reusable SHACL Constraint Components for Validating Geospatial Linked Data. In Reusable SHACL Constraint Components for Validating Geospatial Linked Data. CEUR.

McKenna, L., Debruyne, C., & O'Sullivan, D. (2020). NAISC: an authoritative Linked Data interlinking approach for the library domain.

Debruyne, C., Pandit, H. J., Lewis, D., & O'Sullivan, D. (2020). Just-in-time" generation of datasets by considering structured representations of given consent for GDPR compliance. Knowledge and Information Systems, 62 (9), 3615-3640. doi:10.1007/s10115-020-01468-x

Gustafson, E., Debruyne, C., De Troyer, O., Rogiers, V., Vinken, M., & Vanhaecke, T. (2020). Screening of repeated dose toxicity data in safety evaluation reports of cosmetic ingredients issued by the Scientific Committee on Consumer Safety between 2009 and 2019. Archives of Toxicology. doi:10.1007/s00204-020-02868-2

McKenna, L., Debruyne, C., & O'Sullivan, D. (2019). NAISC: an authoritative Linked Data interlinking approach for the library domain [Paper presentation]. SWIB19 - 11th Semantic Web in Libraries Conference, Hamburg, Germany.

Reddy, B. P., Houlding, B., Hederman, L., Canney, M., Debruyne, C., O'Brien, C., Meehan, A., O'Sullivan, D., & Little, M. A. (2019). Data linkage in medical science using the resource description framework: the AVERT model [version 2; peer review: 2 approved]. HRB Open Research, 1 (20). doi:10.12688/hrbopenres.12851.2

McKenna, L., Debruyne, C., & O'Sullivan, D. (2018). Engaging Information Professionals in the Process of Authoritative Interlinking [Paper presentation]. Semantic Web in Libraries Conference SWIB18, Bonn, Germany.

McKenna, L., Bustillo, M., Debruyne, C., & O'Sullivan, D. (08 December 2016). Development of a Metadata Object Description Schema (MODS) Cataloguing Tool for the Library of Trinity College Dublin's Digital Resources and Imaging Services (DRIS) [Paper presentation]. 2nd Annual VHN Ireland Conference, Ireland.

Debruyne, C., & De Leenheer, P. (2014). Using a Method and Tool for Hybrid Ontology Engineering: an Evaluation in the Flemish Research Information Space. Journal of Theoretical and Applied Electronic Commerce Research, 9 (2), 48-63. doi:10.4067/S0718-18762014000200005