Infrastructure Engineering - Research Publications

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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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    Geo-web service tool for spatial data integrability
    MOHAMMADI, HOSSEIN ; RAJABIFARD, ABBAS ; BINNS, ANDREW ; Williamson, Ian Philip ( 2008)
    The integration of multi-source heterogeneous spatial data is one of the major challenges for many spatial data users. Users put much effort to identify and overcome inconsistency among data sets through a time-consuming and costly process. Spatial applications that rely on multi-source heterogeneous data also suffer from the lack of automatic mechanism to identify the inconsistency items and assign an appropriate solution for any particular item. An effective integration necessitates the identification of the inconsistency among data sets and the provision of necessary standards and guidelines in order to overcome the inconsistency, and then data sets can be manipulated based on the guidelines and proposed solutions.The paper follows two main streams. Firstly, the results of a number of case studies which have been conducted in order to identify the issues and challenges of spatial data integration are discussed. Then based on identified issues the design and development of a validation tool is discussed. The tool has been designed based on an approach which is presented in the paper. The tool aims to investigate multi-sourced spatial data and identify the items of inconsistency. The tool also proposes available guidelines to overcome the inconsistency. This tool can help practitioners and organizations to avoid the time-consuming and costly process of validating data sets for effective data integration.