A SEMANTIC RESOURCE BASED APPROACH FOR STAR SCHEMAS MATCHING

 


A SEMANTIC RESOURCE BASED APPROACH FOR STAR SCHEMAS MATCHING

Elhaj Elamin1Amer Alzaidi2 and Jamel Feki2

1Department of Computer Science, Sudan University of Science and Technology, Khartoum, Sudan 2University of Jeddah, FCIT, Jeddah, Saudi Arabia

ABSTRACT

The hybrid approach is widely used in constructing data warehouse (DW) schemas. It relies on a complex process 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 a semantic resource during this matching helps solving heterogeneity problems. This paper suggests a semiautomatic approach 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 approach consists of three steps: i) Match DS-Stars with BR-Stars; ii) Involve the DW designer for approval of the matching process; and then iii) Generate approved star schemas. We have defined two Boolean functions and four semantic metrics for the matching process. We have developed a software prototype for testing our approach.

KEYWORDS

Star schemas matching, Hybrid approach, Data warehousing, Semantic resource.

Full Text: https://aircconline.com/ijdms/V10N6/10618ijdms02.pdf

Volume Link: https://airccse.org/journal/ijdms/current2018.html

 

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