Learning material

"Agile Principles in Knowledge Graph Development" by Borislav Iordanov, Semantic Arts
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KGC 2022 Talk: Agile Principles in Knowledge Graph Development

François Scharffe, Co-Founder of the Knowledge Graph ConferenceByFrançois Scharffe

Please enjoy this presentation “Agile Principles in Knowledge Graph Development” from the Knowledge Graph Conference 2022 given by Borislav Iordanov at Semantic Arts.    Talk summary: Part of the KGC 2022 “Ontologies & Taxonomies” series is “Agile Principles in Knowledge Graph Development” delivered by Borislav Iordanov of Semantic Arts. The ontologist covers the application of…

Metadata Day 2020
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Metadata Day 2020 [Workshop Summary]

Paco Nathan, graph data scientist & troublemaker generalByPaco Nathan

For a full day on December 14, 2020, LinkedIn sponsored a virtual workshop called Metadata Day, followed by a public online meetup called Metaspeak. View videos of the event on their website including a set of lightning talks provided by several of the speakers. The gist is that circa 2018, the pending regulatory compliance for…

public vs private knowledge graphs
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The Case for Knowledge Graphs: Private vs. Public Graphs

Paco Nathan, graph data scientist & troublemaker generalByPaco Nathan

It’s an interesting time to be working with knowledge graphs. A time of stark contrasts in realizations. On the one hand, I talk with many people who would otherwise be quite expert about machine learning use cases who say, “Yeah, well, no one really uses knowledge graphs in production.” On the other hand, there are…

Image of Michael Atkin
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5 Questions with Michael Atkin

François Scharffe, Co-Founder of the Knowledge Graph ConferenceByFrançois Scharffe

1. Tell us about yourself. I have a strange and sordid history. I’ve been an analyst and advocate for data management since 1985. I started with publishers–the owners of intellectual property–as they discovered concepts associated with the principles of data management. After publishing, I concentrated my efforts on the financial industry, learning how data goes…

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