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Design and implementation of data quality model in spatial databases

Mohammedreja, Mesued Abdelkadir (2010) Design and implementation of data quality model in spatial databases.

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Abstract:Spatial data associated with spatial data quality increases the level of confidence for users to use that spatial data for their intended application. The main objective of this thesis project is to integrate spatial data quality with spatial data from design to the implementation of spatial databases. Based on reviews of the existing spatial data quality literature, the characteristics of each quality elements are identified. To solve some of the problems in the literature and fulfill design requirements for storing and evaluating spatial data quality, a modelling guideline of spatial data quality is proposed. The model enables spatial data quality elements to be integrally linked with spatial data for providing access and processing in spatial database, and thereafter stored and documented in the spatial databases structure at attribute, tuple, table, or database levels. Then we develop a prototype that allows users to request the quality information of a dataset from a client-side. With the prototype, spatial data quality elements can be retrieved from the database and report is generated automatically. The prototype has been tested against the dataset described in the use case. The implementation has shown that the prototype can report the quality information at multi-level structure of spatial databases. Therefore, users can get quality information and utilize it in a more practical way. This work develops an alternative approach to evaluate a given dataset’s quality and store the quality information in a temporarily table in spatial database, which keep the database performance without storing the quality information permanently. The approaches for evaluating of datasets’ quality information presented in this thesis project could support for further research. Keywords spatial data quality, design, prototype, database design, ISO, completeness, UML, positional accuracy, transformation, conceptual model, tuple
Item Type:Essay (Master)
Faculty:ITC: Faculty of Geo-information Science and Earth Observation
Programme:Geoinformation Science and Earth Observation MSc (75014)
Link to this item:https://purl.utwente.nl/essays/92406
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