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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.
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
ePrints DOI: 10.57711/dhq4-ah35