Linked Data: Turning the Web into a Context Graph

Leigh Dodds (Kasabi)
Domain Data, Ballroom E
Average rating: ****.
(4.00, 2 ratings)

There are many different approaches to putting data on the web, ranging from bulk downloads through to rich APIs. These styles suit a range of different data processing and integration patterns. But the history of the web has shown that value and network effects follow from making things addressable.

Facebook’s Open Graph,, and a recent scramble towards a “Rosetta Stone” for geodata, are all examples of a trend towards linking data across the web. Weaving data into the web simplifies data integration. Big Data offers ways to mine huge datasets for insight. Linked Data creates massively inter-connected datasets that can be mined or drawn upon to enrich queries and analysis

This talk will look at the concept of Linked Data and how a rapidly growing number of inter-connected databases, from a diverse range of sources, can be used to contextualise Big Data.

Photo of Leigh Dodds

Leigh Dodds


Open source and open data enthusiast. Product lead. Semantic Web developer.


  • EMC
  • Microsoft
  • HPCC Systems™ from LexisNexis® Risk Solutions
  • MarkLogic
  • Shared Learning Collaborative
  • Cloudera
  • Digital Reasoning Systems
  • Pentaho
  • Rackspace Hosting
  • Teradata Aster
  • VMware
  • IBM
  • NetApp
  • Oracle
  • 1010data
  • 10gen
  • Acxiom
  • Amazon Web Services
  • Calpont
  • Cisco
  • Couchbase
  • Cray
  • Datameer
  • DataSift
  • DataStax
  • Esri
  • Facebook
  • Feedzai
  • Hadapt
  • Hortonworks
  • Impetus
  • Jaspersoft
  • Karmasphere
  • Lucid Imagination
  • MapR Technologies
  • Pervasive
  • Platform Computing
  • Revolution Analytics
  • Scaleout Software
  • Skytree, Inc.
  • Splunk
  • Tableau Software
  • Talend

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