معرفی
Daniel Hernández is a Postdoctoral Researcher at the Institute for Artificial Intelligence (KI) under the Cluster of Excellence IntCDC at the University of Stuttgart. He is part of the Analytic Computing group within the Institute for Parallel and Distributed Systems (IPVS). His work focuses on Semantic Web technologies, particularly SPARQL, RDF, and knowledge graph applications in interdisciplinary design workflows.
Research Trends: His publications (2015–2025) emphasize semantic query processing, provenance computation, and interoperability between architectural data and knowledge graphs. Key innovations include the eSPARQL language for epistemic queries, NPCS for native provenance in SPARQL, and BHoM to bhOWL for integrating building data with ontologies.
Teaching & Collaborations: He has held teaching roles at the University of Stuttgart (Human-Computer Interaction with Knowledge Graphs), University of Aalborg (Group Supervisor), and University of Chile (Lecturer for The Web of Data). Collaborations span institutions like Buro Happold, TU Wien, and INRIA, with publications in journals like Proceedings of the VLDB Endowment and conferences such as WWW and ISWC.
