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Title:

About Quality of Semantic Data for the City Logistics Domain: A Comparison with the Stakeholders’ Perspectives

Accession Number:

01516299

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

City logistics is characterized as a distributed decision making system due to its heterogeneous stakeholders and their conflicting objectives. To understand the complexity of interactions among these stakeholders, the first step is taken by developing an ontology for city logistics domain. Ontology is a powerful way to express domain knowledge in a structured way and it can be treated as a knowledge meta-data model. To utilize this powerful knowledge model one needs to have confidence in its structural and relational information. Confidence in using ontology can be built by validating the ontology for its scope, structure and knowledge representation. In this paper, quantitative evaluation and qualitative validation of generic city logistics ontology is performed. Quantitative evaluation estimates ontology parameters such as depth, breadth, inheritance richness, relationship richness and attribute richness. To check the quality of the ontology, the authors propose to validate system components and knowledge representation in the ontology. For this purpose, the authors use the data collected from interviews consisting 12 real-world stakeholders as well as more than 30 urban freight models and various other urban freight literature. More specifically, the authors explore how (and how many of) these rules and processes found in the real world domain are incorporated in the city logistics ontology. Finally, in the case of city logistics, the authors conclude that the ontology covers a wide scope of the domain and its generic nature allows flexibility of use for the purpose of knowledge sharing, querying and modelling.

Supplemental Notes:

This paper was sponsored by TRB committee AT015(3) Paper Reviews - Freight Planning & Behavior.

Monograph Accession #:

01503729

Report/Paper Numbers:

14-3710

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Anand, N
van Duin, JHR
Tavasszy, L
Wigan, M

Pagination:

15p

Publication Date:

2014

Conference:

Transportation Research Board 93rd Annual Meeting

Location: Washington DC
Date: 2014-1-12 to 2014-1-16
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Data and Information Technology; Freight Transportation; Planning and Forecasting; I70: Traffic and Transport

Source Data:

Transportation Research Board Annual Meeting 2014 Paper #14-3710

Files:

TRIS, TRB, ATRI

Created Date:

Jan 27 2014 3:16PM