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dc.contributor.authorMOHAMMADI, HOSSEINen_US
dc.date.accessioned2014-05-21T19:43:54Z
dc.date.available2014-05-21T19:43:54Z
dc.date.issued2007en_US
dc.identifier.citationMohammadi, H. (2007). Spatial data integration: a necessity for spatially enabling government. In A. Rajabifard (Ed.), Towards a spatially enabled society. University of Melbourne, The Centre for SDIs and Land Administration.en_US
dc.identifier.urihttp://hdl.handle.net/11343/26688
dc.descriptionCopyright confirmation in progress. Any queries to umer-enquiries@unimelb.edu.auen_US
dc.description.abstractIntroduction Most governmental decisions involve a spatial component (Williamson and Wallace, 2006), therefore informative decision making within governments is highly reliant upon multi-sourced spatial data. The ability to spatially enable governments through the use of integrated multi-source spatial data at different governmental levels makes governmental decisions incredibly efficient (Mitchell, 2006b), though governments rarely produce all the data required for their business. Rather, they obtain and integrate data from different sources. However, the diversity of data producers hinders effective spatial data integration. There are many technical and non-technical obstacles in the integration of multi-sourced spatial data and this is one of the major problems in sharing and using spatial data among government organizations. From a technical perspective, spatial data may differ semantically, syntactically and structurally. Institutional, social, policy and legal issues also hinder data integration. In order to effectively overcome these issues, a holistic framework is required to manage and address the issues. SDIs aim to facilitate the integration of multi-source spatial data by providing a holistic framework in which spatial data stakeholders (governments, private sector, etc) interact with spatial data effectively through technological components. There are inconsistencies in the various data within an SDI which lead to data inconsistency and hinder data integration. These inconsistencies should be managed through the SDI framework. However, at the moment, the SDI framework does not deal with these inconsistencies effectively. Hence, we need to identify and map the inconsistencies and develop tools and guidelines within the framework of an SDI to manage them. This will then make it easier for data to be integrated across and within government organisations.en_US
dc.languageengen_US
dc.publisherUniversity of Melbourne, The Centre for SDIs and Land Administrationen_US
dc.subjectspatial dataen_US
dc.subjectSpatial Data Infrastructureen_US
dc.subjectSDIen_US
dc.subjectgovernmenten_US
dc.titleSpatial data integration: a necessity for spatially enabling governmenten_US
dc.typeBook Chapteren_US
melbourne.peerreviewPeer Revieweden_US
melbourne.affiliationThe University of Melbourneen_US
melbourne.affiliation.departmentFaculty of Engineering, Engineeringen_US
melbourne.publication.statusPublisheden_US
melbourne.source.titleTowards a spatially enabled societyen_US
melbourne.source.editorRajabifard, Abbasen_US
melbourne.publicationid90980en_US
melbourne.elementsidNA
melbourne.contributor.authorMOHAMMADI, HOSSEIN
melbourne.accessrightsThis item is currently not available from this repository


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