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  • 标题:A Semantic Resource Based Approach for Star Schemas Matching
  • 本地全文:下载
  • 作者:Elhaj Elamin ; Amer Alzaidi ; Jamel Feki
  • 期刊名称:International Journal of Database Management Systems
  • 印刷版ISSN:0975-5985
  • 电子版ISSN:0975-5705
  • 出版年度:2018
  • 卷号:10
  • 期号:6
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:The hybrid approach is widely used in constructing data warehouse (DW) schemas. It relies on a complexprocess for matching two sets of multidimensional star schemas: schemas built from business requirements(BR-Star schemas) and schemas constructed on the organization data source (DS-Star schemas). Using asemantic resource during this matching helps solving heterogeneity problems. This paper suggests a semiautomaticapproach for the construction of approved star schemas by matching DS-Star schemas with BRStars,and by using WordNet as a semantic resource for solving heterogeneity issues. This approachconsists of three steps: i) Match DS-Stars with BR-Stars; ii) Involve the DW designer for approval of thematching process; and then iii) Generate approved star schemas. We have defined two Boolean functionsand four semantic metrics for the matching process. We have developed a software prototype for testingour approach.
  • 关键词:Star schemas matching; Hybrid approach; Data warehousing; Semantic resource.
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