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.
@timangus2 жыл бұрын
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.
@MeppyMan2 жыл бұрын
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.
@sandeeptech82 жыл бұрын
tell me more, I am interested, I have been thinking of such a system myself.
@circuitgamer77592 жыл бұрын
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.
@PerLundholm2 жыл бұрын
Great to see that kind of paper she drew on, still exists! Haven't seen it in decades. 😀
@andybaldman Жыл бұрын
My god, I am in love with the way she says ‘knowledge graphs’.
@fslurrehman2 жыл бұрын
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?
@evanbarnes99842 жыл бұрын
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
@pankajkhushalani2 жыл бұрын
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 :)
@shemmo2 жыл бұрын
as person who works with Tigergraph and Neo4j i like this video
@mrtienphysics6662 жыл бұрын
where do you still get those dot-matrix printer papers?
@EmptyChordMusic2 жыл бұрын
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.
@thomasbernhardqed2 жыл бұрын
👍❗
@jackyman13372 жыл бұрын
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?
@jesseparrish19932 жыл бұрын
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.)
@lukejohnson96962 жыл бұрын
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.
@MK-je7kz2 жыл бұрын
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.
@itforall892 жыл бұрын
It's been always interesting to listen intellegence people talking about computer science
@grahamcracker-inc2 жыл бұрын
Working with RDF right now!
@aljay85702 жыл бұрын
that's correct 🍰🍰🍰🍰🍰
@GKS2252 жыл бұрын
What do you think about RDF vs property graphs?
@rshnewton2 жыл бұрын
Nicely explained and pleasant to listen to. Can you take this further for us? ♡
@johnmarianhoffman2 жыл бұрын
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?
@landsgevaer2 жыл бұрын
At around 8 minutes onwards, she is drawing a knowledge graph. That seems pretty concrete to me.
@bearsaremonkeys2 жыл бұрын
data is unstructured, knowledge is a story being told by connected data. She specifically said structured information
@siddharth__pandey2 жыл бұрын
I think there should be a follow up video which has more of an implementation side in it
@davidmurphy5632 жыл бұрын
Love the subtle Python reference. Tip of the cap.
@En1Gm4A2 жыл бұрын
Thanks. How do reccomendation systems (Spotify yt) work?
@rexma73942 жыл бұрын
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
@rohmanatasi1771 Жыл бұрын
i think this is more like an ER-Diagram rather than a knowledge graph? are they the same ?
@barneylaurance18652 жыл бұрын
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?
@smort1232 жыл бұрын
That should not be the case. If you say 1 < 2, 2 < 3 and 3 < 4, that doesn't mean you are less sure that 1 < 4.
@snowballeffect78122 жыл бұрын
Excellent explaination.
@tortoiseshell_cat2 жыл бұрын
"This video gonna be viral" - according to knowledge graph
@akaforrest2 жыл бұрын
wikidata might be the most reliable source of data we have these days
@siddharth__pandey2 жыл бұрын
Only for Hard Sciences
@edoardottt2 жыл бұрын
thank you so much 🥰
@parkerstroh65862 жыл бұрын
This is very intereesting stuff
@oldcowbb2 жыл бұрын
I'm doing research in semantic SLAM, this seems like really relevant concept
@TimMeep2 жыл бұрын
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)
@Verrisin2 жыл бұрын
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?
@DaraulHarris2 жыл бұрын
I immediately wondered if my orgroam database is itself some kind of knowledge graph.
@IllidanS42 жыл бұрын
RDF 4ever!
@barrettvelker1982 жыл бұрын
This feels like it's an almost purely linguistic structure. I wonder if other languages have no concept of a "relationship"
@SussyBacca2 жыл бұрын
This video doesn't provide much information... it just sort of talks about obvious surface stuff
@pup43012 жыл бұрын
So the birth place of graphql! I think this is a great explanation. Thank you!
@amb1u52 жыл бұрын
in English something like tag association
@andybaldman Жыл бұрын
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.
@minhtrinh36462 жыл бұрын
I tried listen for 50% of this video, and it provides absolutely zero knowlegde lol
@chrisleon272 жыл бұрын
Ontology
@thinboxdictator67202 жыл бұрын
how about knowledge gaps
@The3biscuits2 жыл бұрын
Star citizen
@YawnGod2 жыл бұрын
Ten thousand years of social evolution and all I got was an AI recommendation.
@TheFartfish2 жыл бұрын
Yummy food for algorithm ;-)
@Lion_McLionhead2 жыл бұрын
"If A causes B & B causes C then A causes C" seems to be what we had on 8 bit confusers 40 years ago.