Describe and query semantic building digital twin data in temporal Knowledge Graphs

Computing in construction

Abstract

With the emerging application and development of digital twin technologies in the Architecture, Engineering, and Construction (AEC) sector, effective monitoring and prediction of the built environment is an important step toward energy transformation. The temporal properties are always implied in the events, either explicitly or implicitly. However, if the temporal evolution data between multiple stakeholders is not properly documented and structured, this valuable data will not be transformed into meaningful actions. As a result, the AEC collaborative work requires a structured model to integrate heterogeneous information and fully document state changes over the process of multiple iterations. (Abstract incomplete)

Authors 2

1. Yingying Zhang Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University , Germany

   RWTH Aachen University, Germany

2. Jakob Beetz Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University , Germany

   RWTH Aachen University, Germany