Knowledge Graphs are very hot in the information world right now; when articles from this fairly esoteric space in the information industry show up in Forbes and the Wall Street Journal, something is clearly afoot.
Why is this? How do Knowledge Graphs purport to help us (and, apparently, large corporations) make sense of things?
Naturally, this requires some firming up of definitions: What is a Knowledge Graph? Is it an ontology? A specific kind of ontology, with specific features? Or an ontology with a specific purpose? Or: Does a Knowledge Graph have to include Linked Data? Or: Does it have to be query-able?
Having sussed out some of these taxonomic outlines, it is then time to ask: how do Knowledge Graphs (or their advocates) purport to help with sense-making?
Key takeaways from the session:
- What are Knowledge Graphs? And what are they useful — and not useful — for?
- Can we really model the sum of human understanding using Knowledge Graphs? (Because that would be cool!)
- Well, no.
- But we *can* do lots of useful sense-making using this set of technologies and techniques, including (importantly) pointing (electronically) to sense already made by others.
About the speakers
Bob Kasenchak is a taxonomist and ontologist at Factor. For over 10 years, he has designed and implemented vocabulary projects for clients in the publishing, e-commerce, technology, and other sectors in the semantic software space. Bob earned a BA in Liberal Arts from St. John’s College, Santa Fe, an MM in Theoretical Studies from the New England Conservatory of Music, and put in 5 years towards a PhD in Music Theory at the University of Texas before abandoning academia for the information industry. His current research interests include ontologies, knowledge graphs, and text classification. Still active teaching and playing music, Bob has been a member of the local ensemble Gamelan Encantada for the past several years. He lives in Albuquerque with his wife and elderly cat.