scholarly journals A PROPOSAL TO USE SEMANTIC WEB TECHNOLOGIES FOR IMPROVED ROAD NETWORK INFORMATION EXCHANGE

Author(s):  
M. G. Niestroj ◽  
D. A. McMeekin ◽  
P. Helmholz ◽  
M. Kuhn

<p><strong>Abstract.</strong> Data harmonisation improves the coherence between data sets within and across themes and is, therefore, a very helpful tool for governmental agencies, companies and other organisations that share their data. This research focuses on horizontal infrastructures, namely roads, and proposes a new strategy to apply Semantic Web Technologies. The aim is to understand if their application is efficient and effective in filling the gap of data harmonisation in Australia’s and New Zealand’s road asset management systems within the definition of location. The proposed strategy has three stages. First, available international data standards for road assets will be analysed to identify the gaps within these standards and create recommendations towards an improved standard. The second stage is for the location aspect within each stage of the life cycle of asset management with respect to existing road asset data standards. Finally, in a third stage Semantic Web Technologies, ontologies and semantic rules will be used to build a prototype solution for road asset data conflation by merging multiple data sources that share no common lineage. The application of these technologies will allow for easier search and discovery of this data as well as facilitate the automated processing and updating of this data over the Web.</p>

Author(s):  
M. G. Niestroj ◽  
D. A. McMeekin ◽  
P. Helmholz

<p><strong>Abstract.</strong> Governmental agencies, companies and other organisations benefit from sharing data effectively using a harmonised data specification. In asset management, data standards exist from the construction phase through to the operation of the building. A gap exists within transport agencies in Australia and New Zealand for the road asset information exchange. The expectation is that by transferring road asset data from one system to another using a commonly accepted data standard, annual cost savings are predicted to be achieved within these countries of between $65 and $130<span class="thinspace"></span>million. Current developments are investigating standardising road asset data. This research provides a critical review of data standards for vertical and horizontal infrastructure, namely buildings and roads, and reviews current approaches that deal with the challenge of information exchange for the road network.</p>


Informatica ◽  
2015 ◽  
Vol 26 (2) ◽  
pp. 221-240 ◽  
Author(s):  
Valentina Dagienė ◽  
Daina Gudonienė ◽  
Renata Burbaitė

2006 ◽  
Vol 21 (1) ◽  
pp. 82-86 ◽  
Author(s):  
S. Stephens ◽  
A. Morales ◽  
M. Quinlan

Author(s):  
Leila Zemmouchi-Ghomari

Industry 4.0 is a technology-driven manufacturing process that heavily relies on technologies, such as the internet of things (IoT), cloud computing, web services, and big real-time data. Industry 4.0 has significant potential if the challenges currently being faced by introducing these technologies are effectively addressed. Some of these challenges consist of deficiencies in terms of interoperability and standardization. Semantic Web technologies can provide useful solutions for several problems in this new industrial era, such as systems integration and consistency checks of data processing and equipment assemblies and connections. This paper discusses what contribution the Semantic Web can make to Industry 4.0.


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