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

Trend 2 - LoD

Trend 3 – App Economy

Trend 4 – Social Media

Typical Corporation Information Silos

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

Linking Social, Open, and Enterprise Data

• Social Data: LinkedIn• Open Data: OpenCorporates• Enterprise Data: BT’s internal SalesForce data

and HR data

System Architecture

Unified Ontology

LDAP data schema

Modeling LDAP

Modeling SalesForce Data

Modeling LinkedIn data

Example Query

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

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

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

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