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Ontology-Based Information Integration: A State-of-the-Art Review in Road Asset Management

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Abstract

As a novel and efficient method of knowledge management, ontology provides a machine-processable technique to establish structured knowledge/information for effective management. The advantages, disadvantages, and future directions of ontology in road asset management, which relies heavily on acquiring and using data, are attracting much research attention over the past few years. This paper aims to provide a thorough and systematic review of ontology, including its development and implementation, in road asset management. In total, 45 journal papers and 12 conference papers published over the last 14 years were reviewed, sorted, and analysed. It is observed that: (1) most ontologies in road asset management target at traffic service and road assets; (2) most ontologies are designed to support the operation and maintenance stage; and (3) RDF-based language and OWL semantics are the two most popular ontology technique. From the review, it is found that the current development and implementation of ontology in road asset management also have a few limitations, including the lack of specific ontology engineering approach, the lack of an automatic mechanism to capture instances, properties and relationships, limited ontologies techniques in this field, and the lack of sharing and linking ontologies of different domains. This study provides useful reference for the architecture, engineering and construction industry to understand and select the most appropriate ontology techniques for creating structured knowledge bases and making effective knowledge management decisions.

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Abbreviations

AEC:

Architecture, engineering and construction

BIM:

Building information modelling

CL2M:

Closed-loop life cycle system management

DL:

Description language

EL:

Expressing language

GIS:

Geographic information system

GPS:

Global positioning system

IC-PRO-Onto:

Infrastructure and construction process ontology

IDEON:

Intelligent systems technology distributed enterprise ontology

IFC:

Industry foundation classes

ISO:

International standard organization

JADE:

Java agent development environment

LPGs:

Labelled property graphs

NoSQL:

Not only SQL

OWL:

The web ontology language

PDA:

Personal digital assistant

QL:

Query language

RDF:

Resource description framework

RDFS:

RDF schema

RL:

Reasoning language

RTDSS:

Roadside tree diagnosis support system

SeRQL:

Sesame RDF query language

SLR:

Systematic literature review

SPARQL:

SPARQL protocol and RDF query language

SQL:

Structured query language

SWRL:

Semantic web rule language

TDDS:

Tunnel defect diagnosis system

VEACON:

Vehicle accident ontology

W3C:

World wide web consortium

XML:

Extensible markup language

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Funding

This paper is supported by the Australian Research Council Discovery Project DP180104026.

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  1. School of Design and the Built Environment, Curtin University, Perth, Australia

    Xiang Lei, Peng Wu & Junxiang Zhu

  2. School of Engineering, Design and Built Environment, Western Sydney University, Sydney, Australia

    Jun Wang

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  1. Xiang Lei
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Lei, X., Wu, P., Zhu, J. et al. Ontology-Based Information Integration: A State-of-the-Art Review in Road Asset Management. Arch Computat Methods Eng 29, 2601–2619 (2022). https://doi.org/10.1007/s11831-021-09668-6

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