Becker, SabrinaNiño, Laura ValderramaRüppel, UweCampana, StefanoFerdani, DanieleGraf, HolgerGuidi, GabrieleHegarty, ZackaryPescarin, SofiaRemondino, Fabio2025-09-052025-09-052025978-3-03868-277-6https://doi.org/10.2312/dh.20253357https://diglib.eg.org/handle/10.2312/dh20253357Historic Building Information Modeling (HBIM) has established itself as a promising approach for the digital documentation and management of cultural heritage. However, there remain fundamental challenges in terms of semantic depth, interoperability, and the dynamic updatability of such models. This paper proposes a multi-layered framework that integrates a geometry-based HBIM model with ontological knowledge representation, external linked data sources, and sensor-based monitoring. Based on open standards such as IFC, ifcOWL, and CIDOC CRM, a concept for a semantically enriched digital twin is developed, which processes both static information and dynamic environmental and condition data. The framework enables context-based analyses, predictive conservation strategies, and promotes interdisciplinary collaboration. Using a prototype framework, methodological advantages, technological challenges, and future development fields are discussed. The paper thus contributes an integrative impulse to the further development of data-driven, sustainable heritage conservation within the context of digital cultural heritage infrastructures.Attribution 4.0 International LicenseSoftware and its engineering → Interoperability; Information systems → Information integration; Computing methodologies → Knowledge representation and reasoningSoftware and its engineering → InteroperabilityInformation systems → Information integrationComputing methodologies → Knowledge representation and reasoning10.2312/dh.2025335710 pages