, Linked Data’s Gateway Drug

The talk will detail the trajectory has taken, starting with a history that is less a retrospective than a narrative. I’ll follow this narrative to the fortunately-timed emergence of JSON-LD, providing as it does a flexible, standards-based serialization of the vocabulary.

This, I’ll explain, helped fuel the popularity of, which in turn has caused a demand for more schemas, growing the vocabulary and its capabilities. I’ll make the case that has started to resemble exactly what everyone involved in the initiative declared it shouldn’t be: an ontology of everything.

Whether or not that be the case, I’ll say, the utility of having a relatively simple, well thought-out, well-understood and very broad vocabulary available has made (along with JSON-LD) a go-to tool for linked data modelers.

Finally, and with a look at the many ways Google, in particular, has made use of, I’ll explore to what extent its utility extends past being a convenient starting for point for back-of-the napkin knowledge graph development, or whether it’s making a significant contribution to realizing the promise of a web of data.

Aaron Bradley
Knowledge Graph Strategist, Electronic Arts

Aaron Bradley started out as a technical services librarian, took an interest in records and coding standards, and spent a decade designing websites. In the mid-2000s he pivoted to search engine marketing, became increasingly exposed to the world of linked data, and as a semantically-minded SEO viewed the 2012 release of the Google Knowledge Graph with more than casual interest. He is now helping to build EA’s knowledge graph and to facilitate the growth of an intelligent content ecosystem. His day-to-day work revolves around taxonomies, ontologies, content models and the linked data standards that support them.


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