Integrated remote sensing and visualization (IRSV) system for transportation infrastructure operations and management, phase one, volume 2 : knowledge modeling and database development.

Lee, Seok-Won; Tolone, William J.; Vatcha, Rashna; Raghuraman, Mahalakshmi V.; University of North Carolina at Charlotte. Transportation Policy Studies; University of North Carolina at Charlotte. Dept. of Software and Information Systems

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Integrated remote sensing and visualization (IRSV) system for transportation infrastructure operations and management, phase one, volume 2 : knowledge modeling and database development.

2009-12-01
By Lee, Seok-Won ; Tolone, William J. ; Vatcha, Rashna ; ...

[PDF-4.81 MB]

English

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Details:

Creators:

Lee, Seok-Won ; Tolone, William J. ; Vatcha, Rashna ; Raghuraman, Mahalakshmi V.

Lee, Seok-Won ; Tolone, William J. ; Vatcha, Rashna ; Raghuraman, Mahalakshmi V. Less -
Corporate Creators:

University of North Carolina at Charlotte. Transportation Policy Studies ; University of North Carolina at Charlotte. Dept. of Software and Information Systems

University of North Carolina at Charlotte. Transportation Policy Studies ; University of North Carolina at Charlotte. Dept. of Software and Information Systems Less -
Corporate Contributors:

United States. Dept. of Transportation. Research and Innovative Technology Administration
Subject/TRT Terms:

[+]

Bridge Management Systems Condition Surveys Databases Inspection Laser Radar Remote Sensing Software Structural Analysis Structural Health Monitoring Visualization
Publication/ Report Number:

USDOT/RITA CRSV-DT0S59-07-H-005
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

University of North Carolina at Charlotte. Transportation Policy Studies
Abstract:

The Integrated Remote Sensing and Visualization System (IRSV) is being designed to accommodate the needs of today’s Bridge Engineers at the

state and local level from several aspects that were documented in Volume One, Summary Report. The following provide supplementary

descriptions of the input by the Software and Information Systems (SIS) Team in developing the Knowledge Modeling and Database

Development of the IRSV Prototype.

 An explicit language reflected in bridge management processes and the relationships among the language attributes and their semantic

understanding at different level of abstraction

 Problem Domain Ontology (PDO) that enables bridge managers to solve complex problems where the underlying domain concepts

provide a collective understanding of the bridge data based on domain knowledge from multi-dimensional resources

 A model of the domain knowledge of bridge inspection processes by using the ontological engineering toolkit called Generic Object

Model (GenOM)

 Support the ability for bridge managers provides to browse, access, query and reason about complex bridge inspection processes

 Provide a method for answering “what-if” queries via GenOM by matching various initial conditions and circumstances based on

rules specified in the PDO

 Rules with ontological concepts and properties that describe the problem domain to support inferences about the problem domain

 Temporal knowledge provided through a flexible Service-oriented Architecture (SOA) framework to compose and provide services

on-demand to other system modules

 A software system that is interoperable, scalable, and adaptable that facilitates heterogeneous data requirements, operational

requirements, and overlapping functionalities

 Functional requirements primarily based on input and feedback provided by North Carolina Department of Transportation (NCDOT)

and Charlotte Department of Transportation (CDOT), which will be expanded to other states and localities in Phase Two

 And finally, an IRSV prototype user interface that combines bridge inspection data and domain knowledge based on a knowledge

representation and goal-driven modeling technique
Format:

PDF
Funding:

DT0S59-07-H-005
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:41bfacd851f331576fbb045b185c78eb64bd9b3b297d58beca9b1f2df0d8c586
Download URL:

https://rosap.ntl.bts.gov/view/dot/28807/dot_28807_DS1.pdf
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Integrated remote sensing and visualization (IRSV) system for transportation infrastructure operations and management, phase one, volume 2 : knowledge modeling and database development.

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