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Web-Vacuum: Web-Based Environment for Automated Assessment of Civil Infrastructure Data |
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| Authors: | Ping Chen Rebecca Bari Buchheit James H. Garrett Jr. Sue McNeil |
| Affiliation: | 1Research Assistant, Dept. of Civil and Environmental Engineering, Carnegie Mellon Univ., Pittsburgh, PA 15213. E-mail: pingc@andrew.cmu.edu 2Ab Initio, Lexington, MA. E-mail: rbuchheit@abinitio.com 3Professor, Dept. of Civil and Environmental Engineering, Carnegie Mellon Univ., Pittsburgh, PA 15213 (corresponding author). E-mail: garrett@cmu.edu 4Director, Urban Transportation Center, Univ. of Illinois at Chicago (C357), 412 South Peoria St., Ste. 340, Chicago, IL 60667-7036. E-mail: mcneil@uic.edu |
| Abstract: | Data quality is extremely important where information dramatically influences the decisions being made. In the context of civil infrastructure systems, planning and management activities are critically dependent on data to support the efficient allocation of resources, detailed cost-benefit analysis, and informed decision-making. A Web-based tool, called Web-Vacuum, which employs data-mining (DM) techniques and partially implements a two-level data-quality assessment procedure, was developed to support the general purpose of data-quality assessment. The algorithms, workflow, and interfaces used in Web-Vacuum are presented. A data-quality assessment case study using a bridge management system data set is used to demonstrate that the application of Web-Vacuum can be used to assist in determining the quality of a data set. |
| Keywords: | Data collection Databases Internet Infrastructure Information management |