Flexible Extraction of Practical Knowledge from Bridge Databases (1994)
| Venue: | In Proceedings of the First Congress on Computing in Civil Engineering |
| Citations: | 2 - 2 self |
BibTeX
@INPROCEEDINGS{Reich94flexibleextraction,
author = {Yoram Reich and Steven J. Fenves and Hon M. Asce and Eswaran Subrahmanian},
title = {Flexible Extraction of Practical Knowledge from Bridge Databases},
booktitle = {In Proceedings of the First Congress on Computing in Civil Engineering},
year = {1994},
pages = {1014--1021}
}
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Abstract
Bridge databases contain significant information that can assist in future bridge management decisions. The effective utilization of this information requires facilities for the flexible extraction of usable knowledge in the form practitioners can use. We propose machine learning technology as a means to perform this knowledge extraction and to support the maintenance of bridge database information. An integrated system is proposed for supporting practitioners in the practical use of this technology. INTRODUCTION The premise of this research is that bridge databases, containing historical data on bridge performance and maintenance decisions, contain knowledge that can be used to enhance future decision making. The major impediment on using this vast amount of data in practice is the problem of making the knowledge embedded in the data explicit for decision makers. While the development of new database technologies, comprising the majority of present efforts in bridge management resea...
