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A Pragmatic Approach to Semantic Repositories Benchmarking

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Dhaval Thakker
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A Pragmatic Approach to Semantic Repositories Benchmarking Dhaval Thakker , Taha Osman, Shakti Gohil, Phil Lakin © Dhaval Thakker, Press Association , Nottingham Trent University
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
http://www.pressassociation.com ,[object Object],[object Object],[object Object],[object Object],Semantic Web project Benchmarking Results Conclusions
Press Association Images Semantic Web project Benchmarking Results Conclusions
Current Search Engine Semantic Web project Benchmarking Results Conclusions
Browsing Engine ,[object Object],[object Object],[object Object],[object Object],Semantic Web project Benchmarking Results Conclusions
Semantic Repository Benchmarking ,[object Object],[object Object],[object Object],[object Object],[object Object],Semantic Web project Benchmarking Results Conclusions * Kiryakov, A, Measurable Targets for Scalable Reasoning., Ontotext Technology White Paper, Nov 2007. 
PA Dataset ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Semantic Web project Benchmarking Results Conclusions
Published Benchmarks & datasets ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Semantic Web project Benchmarking Results Conclusions
Benchmarking Parameters ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Semantic Web project Benchmarking Results Conclusions
UOBM: Load time Semantic Web project Benchmarking Results Conclusions
Load Time: PA Dataset Semantic Web project Benchmarking Results Conclusions
Dataset Queries ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Semantic Web project Benchmarking Results Conclusions
UOBM: Query execution Partially Answered N Query was not answered by this tool Semantic Web project Benchmarking Results Conclusions N N N N N N Q15 0.016 N N N N(infinite) N Q14 N N N N N N Q13 0.016 N N N 476.507 N Q12 0.062 N(infinite) 0.094(P) 0.001(P) N(infinite) N Q11 0.016 0.001 0.001 0.001(P) 0.25 0 Q10 0.031(P) N N N N N Q9 0.031 N N N 6.843(P) N Q8 0.001 N N N 300.12 N Q7 0.047 N N N 1153.025 N Q6 0.047 N N N 1.281 N Q5 0.063 120 0.14 N N(infinite) N Q4 0.062 0.016 0.109 N 651.237 N Q3 0.062 0.001(P) 0.001(P) N 8.906(P) N Q2 0.047 0.031 0.203 0.141 21.921 6.766 (P) Q1 BigOWLIM Jena TDB Sesame Oracle Allegrograph Virtuoso No. Execution Timings (seconds)  
PA Dataset: Query execution Semantic Web project Benchmarking Results Conclusions Partially Answered N Query was not answered by this tool 0.031 N N 1.688 N Q15 0.641 0.001 0.016(P) 1.812 5.563(P) Q13 0.079 N N 16.14 N Q12 0.062 0.001 0.11 1.734 N Q11 0 N 0.047 1.734 0.001 Q10 0.016 N 0.171 1.782 0.156 Q9 0.062 0.001 0.11 3.39 0.047 Q8 0.093 N 0.203 28.688 84.469 Q7 0.45 0.001 N 3.765 N Q6 0.078 N 0.141 1.719 0.172 Q5 0.047 N N N N Q4 0.063 N N N N Q2 0.219 0.047 0.469(P) 26.422 2.234 (P) Q1 BigOWLIM Jena TDB Sesame Allegrograph Virtuoso Query No.
Two complete stores: BigOWLIM v/s Allegrograph Semantic Web project Benchmarking Results Conclusions
Two fast stores: BigOWLIM v/s Sesame Semantic Web project Benchmarking Results Conclusions
Modification Tests: Insert Semantic Web project Benchmarking Results Conclusions
Modification Tests: Update & Delete Semantic Web project Benchmarking Results Conclusions
Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Semantic Web project Benchmarking Results Conclusions

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A Pragmatic Approach to Semantic Repositories Benchmarking

  • 1. A Pragmatic Approach to Semantic Repositories Benchmarking Dhaval Thakker , Taha Osman, Shakti Gohil, Phil Lakin © Dhaval Thakker, Press Association , Nottingham Trent University
  • 2.
  • 3.
  • 4. Press Association Images Semantic Web project Benchmarking Results Conclusions
  • 5. Current Search Engine Semantic Web project Benchmarking Results Conclusions
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11. UOBM: Load time Semantic Web project Benchmarking Results Conclusions
  • 12. Load Time: PA Dataset Semantic Web project Benchmarking Results Conclusions
  • 13.
  • 14. UOBM: Query execution Partially Answered N Query was not answered by this tool Semantic Web project Benchmarking Results Conclusions N N N N N N Q15 0.016 N N N N(infinite) N Q14 N N N N N N Q13 0.016 N N N 476.507 N Q12 0.062 N(infinite) 0.094(P) 0.001(P) N(infinite) N Q11 0.016 0.001 0.001 0.001(P) 0.25 0 Q10 0.031(P) N N N N N Q9 0.031 N N N 6.843(P) N Q8 0.001 N N N 300.12 N Q7 0.047 N N N 1153.025 N Q6 0.047 N N N 1.281 N Q5 0.063 120 0.14 N N(infinite) N Q4 0.062 0.016 0.109 N 651.237 N Q3 0.062 0.001(P) 0.001(P) N 8.906(P) N Q2 0.047 0.031 0.203 0.141 21.921 6.766 (P) Q1 BigOWLIM Jena TDB Sesame Oracle Allegrograph Virtuoso No. Execution Timings (seconds)  
  • 15. PA Dataset: Query execution Semantic Web project Benchmarking Results Conclusions Partially Answered N Query was not answered by this tool 0.031 N N 1.688 N Q15 0.641 0.001 0.016(P) 1.812 5.563(P) Q13 0.079 N N 16.14 N Q12 0.062 0.001 0.11 1.734 N Q11 0 N 0.047 1.734 0.001 Q10 0.016 N 0.171 1.782 0.156 Q9 0.062 0.001 0.11 3.39 0.047 Q8 0.093 N 0.203 28.688 84.469 Q7 0.45 0.001 N 3.765 N Q6 0.078 N 0.141 1.719 0.172 Q5 0.047 N N N N Q4 0.063 N N N N Q2 0.219 0.047 0.469(P) 26.422 2.234 (P) Q1 BigOWLIM Jena TDB Sesame Allegrograph Virtuoso Query No.
  • 16. Two complete stores: BigOWLIM v/s Allegrograph Semantic Web project Benchmarking Results Conclusions
  • 17. Two fast stores: BigOWLIM v/s Sesame Semantic Web project Benchmarking Results Conclusions
  • 18. Modification Tests: Insert Semantic Web project Benchmarking Results Conclusions
  • 19. Modification Tests: Update & Delete Semantic Web project Benchmarking Results Conclusions
  • 20.