Semantika Story

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A short visual narrative scenario that motivates Semantika as the right platform for your data access need.

Project website: http://obidea.github.io/semantika-api/

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Semantika Story

  1. 1. Semantika Story Query Service for Everyone!
  2. 2. Meet Bob Bob is a field engineer. He works much on querying data to support his decisions at work.
  3. 3. *click* *click* Meet Bob To help his job, the company provides him with a special app that manages his common query tasks.
  4. 4. Meet Bob <3 And he is satisfied with it...
  5. 5. Meet Bob ...until things get nastier when the job requires Bob working on more advanced tasks. He certainly has a definite limitation!
  6. 6. Meet Bob *hello Jim* The usual thing he always does is to contact his IT colleague to tweak the app with some extra queries...
  7. 7. Meet Bob ... Although in many cases such request may not get an instant attention...
  8. 8. Meet Bob So now Bob is unable to complete his task and the company is at risk of losing money.
  9. 9. What could be the better solution?
  10. 10. “Self-Service Data Query”
  11. 11. Meet Semantika Semantika is a platform for building Java application that addresses data access and querying SQL database in “plain way”
  12. 12. Meet Semantika As plain as using the company’s “own word” when asking the data
  13. 13. Meet Semantika *omg* So instead asking data like: SELECT cEMP_name FROM tEMP-XYZ_666 WHERE cDEPT_name = ‘Company Life Potion Mngnt’
  14. 14. Meet Semantika <3 Query can be formulated like: “Show all Employee names that work in the Finance department.”
  15. 15. Meet Semantika *click* *click* It gives benefits of minimizing IT knowhow in the company and giving endusers more control on data access need
  16. 16. Lessons Learned Querying data can be a challenging task. Sole reliance on IT experts can be a *major* bottleneck that costs time and money. Such reliance can be minimized by providing direct data access and intuitive querying tool. Semantika serves as a platform that can add value to your existing query system without reducing quality of service and performance.
  17. 17. Visit our Project https:/ /github.com/obidea/semantika-api Extras Command-line Tool: https:/ /github.com/obidea/semantika-cli SPARQL endpoint with Sesame: https:/ /github.com/obidea/semantika-sesame

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