01091022

Component

https://doi.org/10.3141/2064-11

http://scholar.google.com....+Li&publication_year=2008

Transportation data models traditionally are represented in Unified Modeling Language (UML). UML diagrams are intuitive for understanding transportation concepts and their relationships and thus provide standardized ways to construct transportation data models. Many UML models have been developed for this purpose. However, because UML does not consider semantics, sharing UML data is difficult. Reusing UML diagrams also is difficult. In contrast, Web Ontology Language (OWL) describes the semantics of ontology and thus is good for knowledge sharing and reasoning. OWL data are easier to share and better for performing logical inference. Unfortunately, no automatic method is available to transform data models from UML to OWL. A method to automate the transformation process is presented, using transportation data as a case study. Results indicate that transportation data represented in OWL have many advantages, including facilitated data sharing and inference. They also indicate that although many elements in UML can be transformed to OWL, some do not have OWL counterparts.

01114862

English

pp 81-89

2008

Transportation Research Record: Journal of the Transportation Research Board

9780309113366

Print

Figures (3) ; References (21) ; Tables (1)

Algorithms; Case studies; Data sharing; Information management; Interoperability

Unified Modeling Language (UML); Web Ontology Language (OWL)

Data models; Data transformation; Transportation data

Administration and Management; Data and Information Technology; Highways; I10: Economics and Administration

TRIS, TRB

Jan 29 2008 4:14PM

• Bayesian Combination of Travel Time Prediction Models
• Determining London Bus Stop Locations by Means of an Automatic Vehicle Location System
• Enhancing In-Car Navigation Systems with Personal Experience
• Evaluation and Selection of Adaptive Traffic Control Strategies on Transportation Networks: Decision Support Tool Based on Geographic Information System
• Forecasting Travel Supply and Demand by Modeling Multiscale Urban Environments
• Information Technology as a Critical Element of the Transportation Infrastructure: Critical Analysis in Modern Transportation Agencies
• Reducing Burden and Sample Sizes in Multiday Household Travel Surveys
• Research to Production: Lessons Learned from an Innovative Information System Development Approach
• Scenario-Driven Computer-Based Regional Incident Management Training
• Use of Global Positioning System to Identify Crash Locations in South Carolina