1. Linking Social, Open, and Enterprise Data Tope Omitola, J. Davies, A. Duke, H. Glaser, N. Shadbolt

2. Contents Trends Information Silos Questions That Motivated Us System Design and Architecture Data Modeling and Models Example Queries Future Work Questions

3. Trend 1 – Big Data

4. Trend 2 - LoD

5. Trend 3 – App Economy

6. Trend 4 – Social Media

7. Typical Corporation Information Silos

8. Questions We Asked How to manage and extract value from these disparate, isolated data, and How to take advantage of information from external, non-enterprise, and social media to provide new, exciting, and useful services that create value for BT customers

9. Linking Social, Open, and Enterprise Data Social Data: LinkedIn Open Data: OpenCorporates Enterprise Data: BT’s internal SalesForce data and HR data

10. System Architecture

11. Unified Ontology

12. LDAP data schema

13. Modeling LDAP

14. Modeling SalesForce Data

15. Modeling LinkedIn data

16. Example Query

17. Challenges Encountered (1/2) Establishing the Business Case: Set out goals and establish what data needs to be linked Data Discovery and Provenance: Appropriate internal and external data need to be searched for and discovered (Quality problems, etc) Information Extraction and Data Harvesting: Not all the data will be useful. Relevant data items need to be extracted

18. Challenges Encountered (2/2) Data Cleaning: Most of these datasets, internal and external, will not be in the format that can be made use of. Need to be cleaned Data Interlinking: The Choice of Join Points. What do you use to do the inter-linking? Data Modeling Data Management: Some data need to be brought in at run-time, or cached and made available when needed. Therefore, policies to manage the live and cached data sets need to be devised

19. Future Work Future Work includes System Trials Adding more internal BT data Ingesting more external data

20. Questions ? Tope Omitola, t.omitola@ecs.soton.ac.uk