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Linking Social, Open, and Enterprise Data

Linking Social, Open, and Enterprise Data. Tope Omitola, J. Davies, A. Duke, H. Glaser, N. Shadbolt. Contents. Trends Information Silos Questions That Motivated Us System Design and Architecture Data Modeling and Models Example Queries Future Work Questions. Trend 1 – Big Data.

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Linking Social, Open, and Enterprise Data

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  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

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