linking social, open, and enterprise data
Post on 24-Feb-2016
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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
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