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dc.contributor.authorMOHAMMADI, HOSSEINen_US
dc.contributor.authorRAJABIFARD, ABBASen_US
dc.contributor.authorWilliamson, Ian P.en_US
dc.date.accessioned2014-05-21T22:23:08Z
dc.date.available2014-05-21T22:23:08Z
dc.date.issued2010en_US
dc.identifier.citationMohammadi, H., Rajabifard, A., & Williamson, I. P. (2010 ). Development of an interoperable tool to facilitate spatial data integration in the context of SDI. International Journal of Geographical Information Science, April, 25(4), 487-505.en_US
dc.identifier.urihttp://hdl.handle.net/11343/29001
dc.description© 2010 Taylor & Francis. Publisher’s version is restricted access in accordance with the publisher’s policy.en_US
dc.description.abstractThe 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.en_US
dc.languageengen_US
dc.publisherTaylor & Francisen_US
dc.relation.isversionofhttp://www.tandfonline.com.ezp.lib.unimelb.edu.au/doi/pdf/10.1080/13658810902881903en_US
dc.subjectmultisource spatial dataen_US
dc.subjectheterogeneous spatial dataen_US
dc.subjectSDIen_US
dc.subjectspatial data integrationen_US
dc.titleDevelopment of an interoperable tool to facilitate spatial data integration in the context of SDIen_US
dc.typeJournal Articleen_US
melbourne.peerreviewPeer Revieweden_US
melbourne.affiliationThe University of Melbourneen_US
melbourne.affiliation.departmentEngineering - Geomaticsen_US
melbourne.publication.statusPublisheden_US
melbourne.source.titleInternational Journal of Geographical Information Scienceen_US
melbourne.source.monthAprilen_US
melbourne.source.volume25en_US
melbourne.source.issue4en_US
melbourne.source.pages487-505en_US
melbourne.elementsidNA
melbourne.contributor.authorMOHAMMADI, HOSSEIN
melbourne.contributor.authorRajabifard, Abbas
melbourne.contributor.authorWilliamson, Ian
melbourne.accessrightsThis item is currently not available from this repository


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