AI based Semantic Extensibility and Querying Techniques for Building Information Model

Building information model (BIM) is a new emergence in the field of Architecture, Engineering and Construction (AEC) industry, which facilitates detailed digital representation of a building. The BIM archetype describes the details of a building in the Industry Foundation Class (IFC), which is a platform-agnostic, open data model developed by buildingSMART. The BIM data model embeds interoperability and querying facility among its principal traits in support of the AEC industry. The building information is also required by domains outside the AEC industry, to develop a wide variety of applications such as smart building and indoor navigation systems. In such cases, the IFC data model falls short in supporting interaction with applications of external domains other than AEC. The proposed work is aimed to perform a study on various efforts undertaken in the integration of BIM model with external domain querying and reasoning systems, to retrieve details from underlying building models.