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Resolving inconsistency in building information using uncertain knowledge graphs: a case of building space management

Lookup NU author(s): Dr Xiang XieORCiD, Professor Mohamad Kassem



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


The challenge of inconsistent and conflicting information in building space management is addressed using the uncertain knowledge graph. In this method, facts are represented in first-order logic formulas with weights attached to quantify credibility. Conflict-free information is acquired through the Maximum A-Posterior query over the Markov logic network. Semi-structured interviews with asset management professionals helped understand the general space management process in commercial buildings and its challenge of conflicting information. A case study showed that trusted space information can be drawn from dissimilar sources by eliminating redundant and inconsistent information, hence, reducing expensive manual verification processes.

Publication metadata

Author(s): Xie X, Chang J, Kassem M, Parlikad AK

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 2023 European Conference on Computing in Construction 40th International CIB W78 Conference

Year of Conference: 2023

Online publication date: 18/07/2023

Acceptance date: 17/03/2023

Date deposited: 01/05/2023

Publisher: European Council for Computing in Construction


DOI: 10.35490/EC3.2023.267

ePrints DOI: 10.57711/dhq4-ah35