KGC 2022 Talk: Agile Principles in Knowledge Graph Development – Borislav Iordanov, Semantic Arts
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Metadata Day 2020
By Paco 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…
The Case for KGs: Private vs. Public Graphs
By Paco 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 KGs in production.” On the other hand,…
5 Questions with Michael Atkin
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…
Geo Graphs in Gov
When it comes to early-adopters for AI technology, US federal government agencies may not be the first examples that come to mind. My perspective is skewed since my first full-time jobs using email, internetworking, data visualization, inference, etc., were in the US Army and NASA in the 1980s. Since then I’ve had other roles in…
5 Questions with Matthias Sesboüé
Tell us about yourself. I’m French, and I’ve just finished a Master’s degree in computer engineering studies with a major in machine learning. What are you working on? I start a Ph.D. in October 2020, with a company called TraceParts. They offer 3D models of various industrial equipment parts on their website, where suppliers list…
Focus: KGs for Food
Dan Barber, the James Beard award-winning chef who pioneered the farm-to-table movement, has a single, elegant term for the complexity of molecules, processes, and sequences that underpins great food: flavor. Like great chefs, computer scientists grapple with complexity, seeking elegant ways to model and analyze increasingly complex–or perhaps, flavorful–phenomena. Across many business verticals, we are…
5 Questions with Oshani Seneviratne
Healthier eating for diabetics with the RPI + IBM Food KG Tell us about your project. The food knowledge graph (or foodkg) is a joint project between Rensselaer Polytechnic Institute and IBM (part of the IBM AI Horizons Network). The project’s official name is “Health Empowerment through Analytics Learning and Semantics”, or HEALS. We researched…
5 Questions with Paco Nathan
Tell us about yourself! I’m Paco from Derwen. Links to relevant projects, books, videos, articles, etc. can be found here. During the early 1980s, I got started in machine learning and dived into neural networks. After the “AI Winter” I also worked in telecom and network engineering, up until the 2000s when I started leading…
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