Infrastructure Engineering - Research Publications

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    A spatial data infrastructure model from the computational viewpoint
    Cooper, Antony K. ; Moellering, Harold ; Hjelmager, Jan ; Rapant, Petr ; Delgado, Tatiano ; Laurent, Dominique ; Coetzee, Serena ; Danko, David M. ; Düren, Ulrich ; Iwaniak, Adam ; Brodeur, Jean ; Abad, Paloma ; Huet, Michel ; RAJABIFARD, ABBAS (Taylor & Francis, 2012)
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    Spatially enabled bushfire recovery
    Potts, K ; Bennett, R ; Rajabifard, A (SPRINGER, 2013-02-01)
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    On recognizing land administration as critical, public good infrastructure
    Bennett, R ; Tambuwala, N ; Rajabifard, A ; Wallace, J ; Williamson, I (ELSEVIER SCI LTD, 2013-01-01)
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    Towards a foundation for spatial metadata automation
    Olfat, H ; Kalantari, M ; Rajabifard, A ; Williamson, I (TAYLOR & FRANCIS LTD, 2012-01-01)
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    Spatial Metadata Automation: A Key to Spatially Enabling Platform
    OLFAT, H ; Kalantari Soltanieh, SMKS ; Rajabifard, A ; Senot, H ; Williamson, IP ( 2012)
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    Development of an interoperable tool to facilitate spatial data integration in the context of SDI
    MOHAMMADI, HOSSEIN ; RAJABIFARD, ABBAS ; Williamson, Ian P. (Taylor & Francis, 2010)
    The integration of multisource heterogeneous spatial data is one of the major challenges for many spatial data users. To facilitate multisource spatial data integration, many initiatives including federated databases, feature manipulation engines (FMEs), ontology-driven data integration and spatial mediators have been proposed. The major aim of these initiatives is to harmonize data sets and establish interoperability between different data sources. On the contrary, spatial data integration and interoperability is not a pure technical exercise, and there are other nontechnical issues including institutional, policy, legal and social issues involved. Spatial Data Infrastructure (SDI) framework aims to better address the technical and nontechnical issues and facilitate data integration. The SDIs aim to provide a holistic platform for users to interact with spatial data through technical and nontechnical tools. This article aims to discuss the complexity of the challenges associated with data integration and propose a tool that facilitates data harmonization through the assessment of multisource spatial data sets against many measures. The measures represent harmonization criteria and are defined based on the requirement of the respective jurisdiction. Information on technical and nontechnical characteristics of spatial data sets is extracted to form metadata and actual data. Then the tool evaluates the characteristics against measures and identifies the items of inconsistency. The tool also proposes available manipulation tools or guidelines to overcome inconsistencies among data sets. The tool can assist practitioners and organizations to avoid the time-consuming and costly process of validating data sets for effective data integration.
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    Using SDI and web-based system to facilitate disaster management
    Mansourian, A ; Rajabifard, A ; Zoej, MJV ; Williamson, I (PERGAMON-ELSEVIER SCIENCE LTD, 2006-04-01)
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    An initial formal model for a Spatial Data Infrastructure
    Hjelmager, Jan ; Moellering, Harold ; Delgado, Tatiana ; COOPER, ANTONY ; RAJABIFARD, ABBAS ; Rapant, Petr ; Danko, David ; Huet, Michel ; Laurent, Dominique ; Aalders, Henri ; Iwaniak, Adam ; Abad, Paloma ; Duren, Ulrich ; Martynenko, Alexander ( 2008)
    The Commission on Spatial Data Standards of the International Cartographic Association (ICA) is working on defining formal models and technical characteristics of Spatial Data Infrastructures (SDI). To date, this work has been restricted to the Enterprise and Information Viewpoints from the ISO Reference Model for Open Distributed Processing (RM-ODP) standard. The Commission has developed models for these two viewpoints. These models describe how the different parts of an SDI fit together in the viewpoints in question. These models should be seen as a contribution towards the overall model of the SDI and its technical characteristics. During the model development process, the roles of the different Actors in an SDI in the Enterprise and Information Viewpoints have also been identified in Use Case diagrams of an SDI. All the models have been developed using the Unified Modeling Language(UML).