Knowledge Graphs - Computerphile 

take a shot everytime she says Bush house

Our company processes unstructured CV data to make it structured. Obvious if you're in the HR industry. We were sued by IBM for patent infringement on processing "unstructured CV data" 10 years ago, when we had prior art years before their patent. Just ridiculous and left a disdain towards IBM. With the advent of AI and machine learning, hopefully this type of trolling doesn't occur as often.

This was very interesting to learn about the data structure itself, but is there a good source (preferably video, but the format doesn't matter too much) to learn about how a knowledge graph is populated in the first place? That's a pretty vital bit of information that I don't know.

About 30 years ago I used to setup a database system called Vineyard that came from Finland I think. It was all about building relationships between objects graphically. It let you discover interesting relationships and connections you couldn’t otherwise see.

Great to see that kind of paper she drew on, still exists! Haven't seen it in decades. 😀

If anyone is interested in visualising graphs, I wrote an application called Graphia for this purpose. Its main use is in biological sciences, but it's designed to be general purpose.

EXACTLY WHAT I NEEDED! Had been looking into ontology and KGs for the past few days for an NLP project and I am going for it :)

This method seem to suck when you look something fringe stuff that has more popular "synonyms". In those cases it's not uncommon that Google completely ignores a word or two from the search to steer it toward something more popular.

My god, I am in love with the way she says ‘knowledge graphs’.

Is there an open source code that creates knowledge graph 📉 out of a given data? No matter whether a text, pics or video or tables?

I'm not quite sure this explanation works well enough without explaining a bit more about ontologies in the first place. I've been working with RDF and related stuff for quite a bit in an enterprise PLM context, and I wouldn't have seen a knowledge graph as an AI building block - but maybe my thinking is a bit off... I might also have mentioned a few of the upsides and downsides of practical work with a knowledge graph, but I guess this is a bit too specific for an intro video.

as person who works with Tigergraph and Neo4j i like this video

Just want to put in a plug for Obsidian Notes if anyone wants to play with building their own knowledge graph! Just started using it and it's really cool

How do companies like Google and others that have huge amount of this data make sure that they don't get two or more edges with different labels that reference the same data? For example, let's the underlying relationship is "location", but for LSE the edge is labelled "located in" and for KCL "location"? If that were the case they couldn't effectively query it anymore right.

I work in medical AI, but I’m not particularly familiar with knowledge graphs, and this explanation didn’t really clarify anything about what they are or how they work, or the difference between data vs. “knowledge” in this context. Just me? Anyone else just feel like we talked about Bushhouse for twelve minutes, and a very surface level concept of mathematical graphs?

Nicely explained and pleasant to listen to. Can you take this further for us? ♡

would like to know whether this is also called a data model. if not what are the differences between a data model and a Knowledge Graph?

just started playing around with Dgraph/GraphQL. Dgraph has an entirely free cloud starter if anybody wants to tinker. (Not for those unfamiliar with querying databases.)

Love the subtle Python reference. Tip of the cap.

It's been always interesting to listen intellegence people talking about computer science

where do you still get those dot-matrix printer papers?

"This video gonna be viral" - according to knowledge graph

I'm making a hobby app called humoredly that uses knowledge graphs to help write jokes and this video would've been a great help when I was starting out. My main beef against knowledge graphs though is that a lot of implementations use a limited number of relations. I've been meaning to look at models like REBEL that supposedly don't have this limitation I'm but not quite there yet

Working with RDF right now!

thank you so much 🥰

wikidata might be the most reliable source of data we have these days

This feels like it's an almost purely linguistic structure. I wonder if other languages have no concept of a "relationship"

i think this is more like an ER-Diagram rather than a knowledge graph? are they the same ?

This is very intereesting stuff

Although some Wikipedia Infoboxes draw data from Wikidata, most infobox content is not. In the case of Bush House none of it is from Wikidata (at the time of checking)

RDF 4ever!

Thanks. How do reccomendation systems (Spotify yt) work?

Excellent explaination.

I immediately wondered if my orgroam database is itself some kind of knowledge graph.

My issue with those systems has always been: what if things change over time? Most things do. - I wish to say X is a fact at time T, and then something may replace it at a later time. (the T is part of the record, as I always insert facts about past, not some arbitrary now) - And I would like to keep history. I have found terminusdb promising to do that, but it doesn't quite seem like what I was looking for... - Does anyone know good tools for that?

This video doesn't provide much information... it just sort of talks about obvious surface stuff

I'm doing research in semantic SLAM, this seems like really relevant concept

When you infer information by following a transitive relation would you decrease the certainty of the information at each step? Or limit the length of the inference chain to reduce the risk of it containing an untrue claim if you don't model uncertain information?

I tried listen for 50% of this video, and it provides absolutely zero knowlegde lol

So the birth place of graphql! I think this is a great explanation. Thank you!

how about knowledge gaps

Is her accent a mix of British with a touch of German? It’s so interesting. Not pure British. There’s a little something else in there.

in English something like tag association

Yummy food for algorithm ;-)

Ontology

Ten thousand years of social evolution and all I got was an AI recommendation.

"If A causes B & B causes C then A causes C" seems to be what we had on 8 bit confusers 40 years ago.

Star citizen

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