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            Chapter Semantic Web Based Integration Between BIM Cost and Geometric Domains

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            Author(s)
            Zamborlini, Andrea
            Cassandro, Jacopo
            Mirarchi, Claudio
            Pavan, Alberto
            ZANCHETTA, CARLO
            Language
            English
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            Abstract
            In the architecture, engineering, construction, and facilities management (AEC/FM) industry methodologies are needed to ensure the interoperability of data and effective management of information from different sources. Integration of the cost domain and cost estimation within the Building Information Model (BIM) in the AEC/FM sector is still an unresolved problem and one of the most critical tasks due to the lack of a standardised cost domain, especially in the tendering phase. To ensure interoperability between cost data and geometric data, this research aims to address this gap by analyzing methods of converting cost data into Linked Building Data, thereby defining a cost domain in the Semantic Web, by collecting them into a graph database. This allows for structuring a cost domain, translating an IFC based structure previously developed by the research group, visualizing it using a graph system, and connecting it to the BIM geometric domain. Furthermore, it is possible to extend the cost ontology previously identified in the IFC model and facilitate the queries and analysis of cost data currently fragmented and based on unstructured data. The results show how Semantic Web technology can be used to improve data interoperability, develop a cost ontology, and join both cost data and BIM models
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/200508
            Keywords
            Semantic Web; Linked Building Data; IfcOWL; cost ontology; IFC; RDF; graph system; thema EDItEUR::U Computing and Information Technology
            DOI
            10.36253/979-12-215-0289-3.81
            ISBN
            9791221502893
            Publisher
            Firenze University Press
            Publisher website
            www.fupress.com/
            Publication date and place
            Florence, 2023
            Series
            Proceedings e report,
            Pages
            11
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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