Adaptive BIM–IDS Framework for Semantic-Level Data Interoperability in Construction 5.0 Environments
DOI:
https://doi.org/10.51903/46pddn16Keywords:
Building Information Modeling (BIM), Information Delivery Specification (IDS), Semantic Interoperability, Construction 5.0, Adaptive FrameworkAbstract
Physical infrastructure further becomes digitalized, but semantic-level interoperability between Building Information Modeling (BIM) and Information Delivery Specification (IDS) is a problem that is preventing one-size-fits-all information exchange. Conceptually, the current study conceives and analyzes an Adaptive BIM–IDS Framework that can extend support toward semantic conjoining within Construction 5.0 environments through ontology-based reasoning, adaptive mapping, and human–machine cooperation. A constructive research and simulation approach was adopted, wherein a Systematic Literature Review was integrated with PRISMA and dummy dataset simulation of BIM–IDS. Ontology-based mapping, SHACL validation, and SPARQL reasoning were adhered to for semantic completeness, logical consistency, and semantic flexibility of the framework. Performance was tested in three replicable tests Context Recognition Accuracy (CRA), Interoperability Consistency Ratio (ICR), and Adaptive Mapping Success Rate (AMSR) that exhibited higher semantic compatibility than a non-semantic control. While results are hypothetical, simulation-based, rather than empirical, the study presents replicable reason pipeline and formalized semantic ontology to support adaptive, ontology-enabled interoperability feasibility. Outcomes guide theoretical foundation of adaptive BIM–IDS integration and drive subsequent empirical application toward semantically harmonized, human-centered Construction 5.0 systems.
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Akpobome, O. (2024). The Impact of Emerging Technologies on Legal Frameworks: A Model for Adaptive Regulation. International Journal of Research Publication and Reviews, 5(10), 5046–5060. https://doi.org/10.55248/gengpi.5.1024.3012
Amara, F. Z., Hemam, M., Djezzar, M., & Maimour, M. (2022). Semantic Web Technologies for Internet of Things Semantic Interoperability. Lecture Notes in Networks and Systems, 357 LNNS, 133–143. https://doi.org/10.1007/978-3-030-91738-8_13
Babalola, A., Musa, S., Akinlolu, M. T., & Haupt, T. C. (2023). A bibliometric review of advances in building information modeling (BIM) research. In Journal of Engineering, Design and Technology (Vol. 21, Issue 3, pp. 690–710). Emerald Publishing. https://doi.org/10.1108/JEDT-01-2021-0013
Bernasconi, A., Guizzardi, G., Pastor, O., & Storey, V. C. (2022). Semantic interoperability: ontological unpacking of a viral conceptual model. BMC Bioinformatics, 23. https://doi.org/10.1186/s12859-022-05022-0
Bigai, S., & Santos, E. T. (2024). Implementing Information Delivery Specification (IDS) encoding for a BIM object standard based on model uses.
Chen, K. E., Liang, Y., Jha, N., Ichnowski, J., Danielczuk, M., Gonzalez, J., Kubiatowicz, J., & Goldberg, K. (2021). FogROS: An Adaptive Framework for Automating Fog Robotics Deployment. IEEE International Conference on Automation Science and Engineering, 2021-August, 2035–2042. https://doi.org/10.1109/CASE49439.2021.9551628
Chen, X., Ghaffarianhoseini, A., Ghaffarianhoseini, A., Hkust, I., Cheng, J., & Yantao, Y. (2025). Exploring Construction 5.0 Paradigms in the AEC Sector of New Zealand: Conceptual Foundations and Implications for Practice ence on Civil and Building Engineering Informatics. In Kalpa Publications in Computing (Vol. 22). Kalpa Publications in Computing.
Darko, A., Chan, A. P. C., Yang, Y., & Tetteh, M. O. (2020). Building information modeling (BIM)-based modular integrated construction risk management – Critical survey and future needs. In Computers in Industry (Vol. 123). Elsevier B.V. https://doi.org/10.1016/j.compind.2020.103327
Diana, D., & Angga Mukti, A. (2025). AI-Driven Digital Twin for Predictive Maintenance in Urban Infrastructure: Enhancing Structural Resilience and Sustainability. Civil Engineering Science and Technology (CEST), 1(1). https://doi.org/10.51903/3c72e647
Fischer, M., Safaeinili, N., Haverfield, M. C., Brown-Johnson, C. G., Zionts, D., & Zulman, D. M. (2021). Approach to Human-Centered, Evidence-Driven Adaptive Design (AHEAD) for Health Care Interventions: a Proposed Framework. In Journal of General Internal Medicine (Vol. 36, Issue 4, pp. 1041–1048). Springer. https://doi.org/10.1007/s11606-020-06451-4
Igba Emmanuel, Edwin Osei Danquah, Emmanuel Adikwu Ukpoju, Jesutosin Obasa, Toyosi Motilola Olola, & Joy Onma Enyejo. (2024). Use of Building Information Modeling (BIM) to Improve Construction Management in the USA. World Journal of Advanced Research and Reviews, 23(3), 1799–1813. https://doi.org/10.30574/wjarr.2024.23.3.2794
Khatoon, P. S., & Ahmed, M. (2022). Importance of semantic interoperability in smart agriculture systems. Transactions on Emerging Telecommunications Technologies, 33(5). https://doi.org/10.1002/ett.4448
Liu, Y., Tao, X., Das, M., Gong, X., Liu, H., Xu, Y., Xie, A., & Cheng, J. C. P. (2024). Blockchain-enabled platform-as-a-service for production management in off-site construction design using openBIM standards. Automation in Construction, 164. https://doi.org/10.1016/j.autcon.2024.105447
Lohr, C. A., & Algar, D. (2020). Managing feral cats through an adaptive framework in an arid landscape. Science of the Total Environment, 720. https://doi.org/10.1016/j.scitotenv.2020.137631
Mladenovic, J., Frey, J., Joffily, M., Maby, E., Lotte, F., Mattout, J., Frey, J., & Mattout, J. (2020). Active inference as a unifying, generic and adaptive framework for a P300-based BCI. Journal of Neural Engineering, 17. https://doi.org/10.1088/1741-2552/ab5d5cï
Moshtaghian, F., & Noorzai, E. (2023). Integration of risk management within the building information modeling (BIM) framework. Engineering, Construction and Architectural Management, 30(5), 1951–1977. https://doi.org/10.1108/ECAM-04-2021-0327
Nanduri, S. K., & Delhi, V. S. K. (2025). Foundations For Construction 5.0: A Review-Based Taxonomy For Construction Worker Action Understanding. In Journal of Information Technology in Construction (Vol. 30, pp. 924–962). International Council for Research and Innovation in Building and Construction. https://doi.org/10.36680/j.itcon.2025.038
Olanrewaju, O. I., Chileshe, N., Babarinde, S. A., & Sandanayake, M. (2020). Investigating the barriers to building information modeling (BIM) implementation within the Nigerian construction industry. Engineering, Construction and Architectural Management, 27(10), 2931–2958. https://doi.org/10.1108/ECAM-01-2020-0042
Rahman, H., & Hussain, M. I. (2020). A comprehensive survey on semantic interoperability for Internet of Things: State-of-the-art and research challenges. Transactions on Emerging Telecommunications Technologies, 31(12). https://doi.org/10.1002/ett.3902
Setyadi Tommy, A., & Putra Jaya, R. (2025). Integration of AI and Digital Twin Technology for Smart Infrastructure Management in Urban Cities. Civil Engineering Science and Technology (CEST), 1(1). https://doi.org/10.51903/t881qw28
Shahruddin, S., & Zairul, M. (2020). BIM Requirements across a Construction Project Lifecycle: A PRISMA-Compliant Systematic Review and Meta-Analysis. www.ijicc.net
Su, H., Sun, R., Yoon, J., Yin, P., Yu, T., & Arık, S. Ö. (2025). Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments. http://arxiv.org/abs/2501.10893
Tang, S., Shelden, D. R., Eastman, C. M., Pishdad-Bozorgi, P., & Gao, X. (2020). BIM assisted Building Automation System information exchange using BACnet and IFC. Automation in Construction, 110. https://doi.org/10.1016/j.autcon.2019.103049
Tomczak, A., Berlo, L. V., Krijnen, T., Borrmann, A., & Bolpagni, M. (2022). A review of methods to specify information requirements in digital construction projects. IOP Conference Series: Earth and Environmental Science, 1101(9). https://doi.org/10.1088/1755-1315/1101/9/092024
Tommy Hendryarto, K. (2025). Implementation of Internet of Things (IoT) Technology in Construction Monitoring. Civil Engineering Science and Technology (CEST), 1(1). https://doi.org/10.51903/h3wqm765
Vogt, L., Strömert, P., Matentzoglu, N., Karam, N., Konrad, M., Prinz, M., & Baum, R. (2025). Suggestions for extending the FAIR Principles based on a linguistic perspective on semantic interoperability. Scientific Data , 12(1). https://doi.org/10.1038/s41597-025-05011-x
Wen, J., Zhang, X., Bi, Q., Pan, Z., Feng, Y., Yuan, J., & Fang, Y. (2021). MRPB 1.0: A Unified Benchmark for the Evaluation of Mobile Robot Local Planning Approaches. http://arxiv.org/abs/2011.00491
Yang, A., Han, M., Zeng, Q., & Sun, Y. (2021). Adopting Building Information Modeling (BIM) for the Development of Smart Buildings: A Review of Enabling Applications and Challenges. In Advances in Civil Engineering (Vol. 2021). Hindawi Limited. https://doi.org/10.1155/2021/8811476
Yin, M., Wang, H., Xu, X., Wu, L., Zhao, S., Guo, W., Liu, Y., Tang, R., Lian, D., & Chen, E. (2023). APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. International Conference on Information and Knowledge Management, Proceedings, 3009–3019. https://doi.org/10.1145/3583780.3614781
Yitmen, I., Almusaed, A., & Alizadehsalehi, S. (2024). Facilitating Construction 5.0 for smart, sustainable and resilient buildings: opportunities and challenges for implementation. Smart and Sustainable Built Environment. https://doi.org/10.1108/SASBE-04-2024-0127
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