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, Schema.org, 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

Kasabi

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

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