Flexible extraction of practical knowledge from bridge databases

Yoram Reich; Steven J. Fenves; Eswaran Subrahmanian

Flexible extraction of practical knowledge from bridge databases

Yoram Reich^*, Steven J. Fenves, Eswaran Subrahmanian

^*Corresponding author for this work

School of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Computing in Civil Engineering (New York)
Editors	Khalil Khozeimeh
Publisher	Publ by ASCE
Pages	1014-1021
Number of pages	8
Edition	1
ISBN (Print)	0784400261
State	Published - 1994
Event	Proceedings of the 1st Congress on Computing in Civil Engineering. Part 1 (of 2) - Washington, DC, USA Duration: 20 Jun 1994 → 22 Jun 1994

Publication series

Name	Computing in Civil Engineering (New York)
Number	1

Conference

Conference	Proceedings of the 1st Congress on Computing in Civil Engineering. Part 1 (of 2)
City	Washington, DC, USA
Period	20/06/94 → 22/06/94

Cite this

@inproceedings{f3c81c79320842768a0b3d31f2adaa63,

title = "Flexible extraction of practical knowledge from bridge databases",

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.",

author = "Yoram Reich and Fenves, {Steven J.} and Eswaran Subrahmanian",

year = "1994",

language = "אנגלית",

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series = "Computing in Civil Engineering (New York)",

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number = "1",

pages = "1014--1021",

editor = "Khalil Khozeimeh",

booktitle = "Computing in Civil Engineering (New York)",

edition = "1",

note = "Proceedings of the 1st Congress on Computing in Civil Engineering. Part 1 (of 2) ; Conference date: 20-06-1994 Through 22-06-1994",

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Reich, Y, Fenves, SJ & Subrahmanian, E 1994, Flexible extraction of practical knowledge from bridge databases. in K Khozeimeh (ed.), Computing in Civil Engineering (New York). 1 edn, Computing in Civil Engineering (New York), no. 1, Publ by ASCE, pp. 1014-1021, Proceedings of the 1st Congress on Computing in Civil Engineering. Part 1 (of 2), Washington, DC, USA, 20/06/94.

Flexible extraction of practical knowledge from bridge databases. / Reich, Yoram; Fenves, Steven J.; Subrahmanian, Eswaran.
Computing in Civil Engineering (New York). ed. / Khalil Khozeimeh. 1. ed. Publ by ASCE, 1994. p. 1014-1021 (Computing in Civil Engineering (New York); No. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Fenves, Steven J.

AU - Subrahmanian, Eswaran

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AB - 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.

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BT - Computing in Civil Engineering (New York)

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T2 - Proceedings of the 1st Congress on Computing in Civil Engineering. Part 1 (of 2)

Y2 - 20 June 1994 through 22 June 1994

ER -

Flexible extraction of practical knowledge from bridge databases

Abstract

Publication series

Conference

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