Extending dimensional modeling through the abstraction of data relationships and development of the semantic data warehouse

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dc.contributor.authorHart, Robert
dc.contributor.supervisorKuo, Alex
dc.date.accessioned2017-12-04T18:09:10Z
dc.date.available2017-12-04T18:09:10Z
dc.date.copyright2017en_US
dc.date.issued2017-12-04
dc.degree.departmentSchool of Health Information Scienceen_US
dc.degree.levelMaster of Science M.Sc.en_US
dc.description.abstractThe Kimball methodology, often referred to as dimensional modelling, is well established in data warehousing and business intelligence as a highly successful means for turning data into information. Yet weaknesses exist in the Kimball approach that make it difficult to rapidly extend or interrelate dimensional models in complex business areas such as Health Care. This Thesis looks at the development of a methodology that will provide for the rapid extension and interrelation of Kimball dimensional models. This is achieved through the use of techniques similar to those employed in the semantic web. These techniques allow for rapid analysis and insight into highly variable data which previously was difficult to achieve.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.bibliographicCitationHart, R., Kuo, A. M. (2017). IOS Press Ebooks - Better Data Quality for Better Healthcare Research Results – A Case Study. (2017). Ebooks.iospress.nl. Retrieved 18 July 2017, from http://ebooks.iospress.nl/volumearticle/46158en_US
dc.identifier.bibliographicCitationHart, R., Kuo, A. M. (2016). Meeting Health Care Research Needs in a Kimball Integrated Data Warehouse, 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA), Montreal, QC, 2016, pp. 697-705. doi: 10.1109/DSAA.2016.91en_US
dc.identifier.urihttp://hdl.handle.net/1828/8832
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectKimballen_US
dc.subjectStar Schemaen_US
dc.subjectHealth Informationen_US
dc.subjectBusiness Intelligenceen_US
dc.subjectData Warehouseen_US
dc.subjectRDF Tripletsen_US
dc.subjectDimensional Modelen_US
dc.subjectHealth Data Researchen_US
dc.titleExtending dimensional modeling through the abstraction of data relationships and development of the semantic data warehouseen_US
dc.typeThesisen_US

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