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