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Automatic Logical Inconsistency Detection in the National Bridge Inventory

Abstract Studies about the data quality of National Bridge Inventory (NBI) reveal missing, erroneous, and logically conflicting data. Existing data quality programs lack a focus on detecting the logical inconsistencies within NBI and between NBI and external data sources. For example, within NBI, the structural condition ratings of some bridges improve over a period while having no improvement activity or maintenance funds recorded in relevant attributes documented in NBI. An example of logical inconsistencies between NBI and external data sources is that some bridges are not located within 100 meters of any roads extracted from Google Map. Manual detection of such logical errors is tedious and error-prone. This paper proposes a systematical “hypoth... (more)
Created Date 2016-05-20
Contributor Din, Zia Ud (ASU author) / Tang, Pingbo (ASU author) / Ira A. Fulton Schools of Engineering / School of Sustainable Engineering and the Built Environment / Construction Management / Construction Engineering
Type Text
Extent 9 pages
Language English
Identifier DOI: 10.1016/j.proeng.2016.04.093 / ISSN: 1877-7058
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Citation Din, Z. U., & Tang, P. (2016). Automatic Logical Inconsistency Detection in the National Bridge Inventory. Procedia Engineering, 145, 729-737. doi:10.1016/j.proeng.2016.04.093
Collaborating Institutions ASU Library
Additional Formats MODS / OAI Dublin Core / RIS