Case-based Decision Support for Bridge Monitoring

Bernhard Freudenthaler; Georg Gutenbrunner; Reinhard Stumptner; Josef Küng

Case-based Decision Support for Bridge Monitoring

Bernhard Freudenthaler
, Georg Gutenbrunner
, Reinhard Stumptner
, Josef Küng

Institut für Anwendungsorientierte Wissensverarbeitung

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

Abstract

This paper deals with the support of human experts in making decisions in the field of bridge monitoring. Thereby, the methodology Case-based Reasoning is described to develop a Decision Support System for the interpretation of measurement results of bridges. Case-based Reasoning is a cyclic problem solving method whereby already known knowledge about bridges is stored in form of cases. The system uses these cases to help the engineers in interpreting measurement results. Each bridge has different dynamic parameters. Therefore, analysis and interpretation of the raw data is very time-consuming and costintensive. Furthermore, the interpretation by human experts is done in a subjective way because each engineer has different concepts and experience in the interpretation of bridge measurement data. On this account, there is a need for an intelligent Decision Support System to support engineers in interpreting measurement results and making decisions.

Originalsprache	Englisch
Titel	Third International Multi-Conference on Computing in the Global Information Technology, 2008. ICCGI '08
Seitenumfang	6
Publikationsstatus	Veröffentlicht - 2008

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 9 – Industrie, Innovation und Infrastruktur
SDG 16 – Frieden, Gerechtigkeit und starke Institutionen

Wissenschaftszweige

102001 Artificial Intelligence
102006 Computer Supported Cooperative Work (CSCW)
102010 Datenbanksysteme
102014 Informationsdesign
102015 Informationssysteme
102016 IT-Sicherheit
102028 Knowledge Engineering
102019 Machine Learning
102022 Softwareentwicklung
102025 Verteilte Systeme
502007 E-Commerce
505002 Datenschutz
506002 E-Government
509018 Wissensmanagement
202007 Computer Integrated Manufacturing (CIM)
102033 Data Mining
102035 Data Science

Dieses zitieren

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title = "Case-based Decision Support for Bridge Monitoring",

abstract = "This paper deals with the support of human experts in making decisions in the field of bridge monitoring. Thereby, the methodology Case-based Reasoning is described to develop a Decision Support System for the interpretation of measurement results of bridges. Case-based Reasoning is a cyclic problem solving method whereby already known knowledge about bridges is stored in form of cases. The system uses these cases to help the engineers in interpreting measurement results. Each bridge has different dynamic parameters. Therefore, analysis and interpretation of the raw data is very time-consuming and costintensive. Furthermore, the interpretation by human experts is done in a subjective way because each engineer has different concepts and experience in the interpretation of bridge measurement data. On this account, there is a need for an intelligent Decision Support System to support engineers in interpreting measurement results and making decisions.",

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AU - Gutenbrunner, Georg

AU - Stumptner, Reinhard

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AB - This paper deals with the support of human experts in making decisions in the field of bridge monitoring. Thereby, the methodology Case-based Reasoning is described to develop a Decision Support System for the interpretation of measurement results of bridges. Case-based Reasoning is a cyclic problem solving method whereby already known knowledge about bridges is stored in form of cases. The system uses these cases to help the engineers in interpreting measurement results. Each bridge has different dynamic parameters. Therefore, analysis and interpretation of the raw data is very time-consuming and costintensive. Furthermore, the interpretation by human experts is done in a subjective way because each engineer has different concepts and experience in the interpretation of bridge measurement data. On this account, there is a need for an intelligent Decision Support System to support engineers in interpreting measurement results and making decisions.

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