Abstract
The existing evaluation methodologies of semantic web databases are limited because they measure performance of the databases only in terms of time and do not cover resource utilization for their data manipulation operations. To cope with deficiencies of the existing methodologies, we have proposed a new scalability and performance evaluation methodology to perform comparative analysis of the databases and defined metrics for their query cost estimation. The proposed methodology comprises test cases for data access methods and query optimization techniques to analyze performance of the databases. The methodology was applied to the existing semantic web databases using the Barton library dataset. We highlighted the key strengths and weaknesses of the databases and discovered their scalability behavior. The evaluation results show that the proposed methodology depicts scalability behavior and performance analysis of each database better than the existing evaluation methodologies.
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