Professor Maribel Acosta and researcher Jin Ke participated in the 50th VLDB conference held in Guangzhou, China, where Jin presented their work on Re-SHACL, an efficient approach for SHACL validation with reasoning. Traditional SHACL validation often overlooks implicit information, leading to inaccurate results. Their solution incorporates targeted reasoning and merging techniques, significantly improving validation accuracy while reducing computational overhead. On datasets such as DBpedia and Wikidata, Re-SHACL demonstrated faster validation times and more meaningful violation reports. This research opens new possibilities for scalable reasoning-based validation in large knowledge graphs.