RESOLVNG INCONSISTENCY IN BUILDING INFORMATION USING UNCERTAIN KNOWLEDGE GRAPHS: A CASE OF BUILDING SPACE MANAGEMENT

Abstract

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.