1. From Relational to Semantics A Methodology www.globalids.com Arka Mukherjee, Ph.D. Founder / CTO Global IDs www.revelytix.com David Schaengold Director, Business Solutions Revelytix

2. © 2012 Global IDs 2 Proprietary

3. © 2012 Global IDs 3 Proprietary Objectives 1.The Bridge from Relational to Semantics 2.An Implementation Methodology 3.Review a Use Case

4. Introduction

5. © 2012 Global IDs 5 Proprietary Evolution of Data Representation 1970’s Relational Models Relational Databases Optimized For: Speed Volume 2010’s Semantic Models Graph Databases Optimized For: Complexity Integration Improved Representations

6. © 2012 Global IDs 6 Proprietary Central Questions Can software help us migrate from a relational-centric world to a semantic-based world? Is there a clear path to providing better data integration and management of distributed data sets?

7. © 2012 Global IDs 7 Proprietary Partner Organizations Focus: - Data Profiling - Data Mapping - Enterprise Scale Focus: - Distributed Information Management - Data Virtualization - Data Federation

8. © 2012 Global IDs 8 Proprietary Focus Relational To RDF Mapping, Federation and Analytics

9. Methodology

10. © 2012 Global IDs 10 Proprietary Prototypical Customer Pain Points: Little Transparency or Traceability Limited Analytical Capability What is needed: Quicker Time-to-Market Reduced Cost of Integration More Comprehensive Analytics Access to More Data Too Many Data Silos High Costs of Maintenance

11. © 2012 Global IDs 11 Proprietary 2 Improve Quality Methodology 3 Generate Portals 1 Create Transparency 5 Integrate / Federate 6 Emergent Analytics 4 Map to Ontology 6 Stages

12. © 2012 Global IDs 12 Proprietary Stage 1 : Create Transparency 1.Scan 2.Analyze 3.Organize 4.Create Maps 1.Convert Maps to Ontologies

13. © 2012 Global IDs 13 Proprietary Stage 2 : Improve Quality Data VerificationData Validation Data StewardshipData Monitoring

14. © 2012 Global IDs 14 Proprietary Stage 3 : Generate Portals For Any Data Type: Customers Products Employees Suppliers Vendors Partners SKUs Sensors

15. © 2012 Global IDs 15 Proprietary Stage 4 : Map to Ontology Map to: Company Ontology Industry Ontology Domain Ontology An ontology is synonymous with a Business Vocabulary

16. © 2012 Global IDs 16 Proprietary Stage 5 : Integrate / Federate Populate Semantic Database Deploy SPARQL Query Processor Integrate Data, Enabling Federated Queries Over Distributed Data Stores

17. © 2012 Global IDs 17 Proprietary Stage 6 : Emergent Analytics Rapid Analytics Query any SPARQL End Point, Internally or Externally

18. © 2012 Global IDs 18 Proprietary Result: Lower Costs + Higher Automation

19. Financial Services Demonstration

20. © 2012 Global IDs 20 Proprietary Architecture 1. Scanning & Profiling 2. Export Mappings 3. Create Queries over Federated Sources

21. © 2012 Global IDs 21 Proprietary Starting Point How is Data Defined? Where is Data Located?

22. © 2012 Global IDs 22 Proprietary Global IDs provides automated data discovery at enterprise scale

23. © 2012 Global IDs 23 Proprietary Revelytix provides enterprise data management solutions using W3C semantic standards A Distributed Information Management System is a layer above your current DBMS, similar to how a RDBMS is a layer above a file system Both provide an additional level of abstraction Both bundle new computational capabilities into the system Both simplify the access to and use of data by applications and developers

24. Thank You For more Information, please contact Arka.Mukherjee@globalids.com David.Schaengold@revelytix.com

25. © 2012 Global IDs 25 Proprietary