Semantic Integration of Cost, Time, Resource, and Geometry for Data-Driven Construction Management: An Interactive Dashboard for Decision Support

The construction industry is characterized by fragmented information flows, where tasks, costs, resources, and BIM-based building objects are typically managed using separate and unconnected tools and documents. This fragmentation prevents cross-domain consistency checks and undermines effective project control. To address this challenge, the paper proposes a semantic methodology that integrates heterogeneous construction data using ontologies, RDF, and SPARQL querying. This approach translates conventional project documents, such as IFC models, cost items, and scheduling time schedules, into an RDF knowledge graph structured according to domain-specific ontologies. A suite of standardized SPARQL queries facilitates the evaluation of cross-domain consistency between the data. The results are visualized via an interactive dashboard, providing decision support for project managers, including those without specialized expertise. The methodology has been validated through a real-world case study. The findings underscore the potential of semantic technologies to identify misalignments, reduce data silos, and enhance transparency, traceability, and coordination throughout the project lifecycle. This proposed system illustrates how semantic interoperability and Linked Data principles can improve project management practices within the architecture, engineering, and construction sector.