as promised, now that I am back from my trip, here's my draft of the comparison of Wikidata, DBpedia, and Freebase.
It is a draft, it is obviously potentially biased given my background, etc., but I hope that we can work on it together to get it into a good shape.
Markus, amusingly I took pretty much the same example that you went for, the parent predicate. So yes, I was also surprised by the results, and would love to have Sebastian or Kingsley look into it and see if I conducted it fairly.
SJ, Andra, thanks for offering to take a look. I am sure you all can contribute your own unique background and make suggestions on how to improve things and whether the results ring true.
Marco, I totally agree with what you said - the project has stalled, and there is plenty of opportunity to harvest more data from Freebase and bring it to Wikidata, and this should be reignited. Sebastian, I also agree with you, and the numbers do so too, the same is true with the extraction results from DBpedia.
Sebastian, Kingsley, I tried to describe how I understand DBpedia, and all steps should be reproducible. As it seems that the two of you also have to discuss one or the other thing about DBpedia's identity, I am relieved that my confusion is not entirely unjustified. So I tried to use both the last stable DBpedia release as well as a new-style DBpedia fusion dataset for the comparison. But I might have gotten the whole procedure wrong. I am happy to be corrected.
> Meanwhile, Google crawls all the references and extracts facts from there. We don't
> have that available, but there is Linked Open Data.
Potentially, not a bad idea, but we don't do that.
Everyone, this is the first time I share a Colab notebook, and I have no idea if I did it right. So any feedback of the form "oh you didn't switch on that bit over here" or "yes, this works, thank you" is very welcome, because I have no clue what I am doing :) Also, I never did this kind of analysis so transparently, which is kinda both totally cool and rather scary, because now you can all see how dumb I am :)
So everyone is invited to send Pull Requests (I guess that's how this works?), and I would love for us to create a result together that we agree on. I see the result of this exercise to be potentially twofold:
1) a publication we can point people to who ask about the differences between Wikidata, DBpedia, and Freebase
2) to reignite or start projects and processes to reduce these differences
So, here is the link to my Colab notebook:
Ideally, the third goal could be to get to a deeper understanding of how these three projects relate to each other - in my point of view, Freebase is dead and outdated, Wikidata is the core knowledge base that anyone can edit, and DBpedia is the core project to weave value-adding workflows on top of Wikidata or other datasets from the linked open data cloud together. But that's just a proposal.
I was not trying to judge here. I was just saying that it wasn't much data in the end.
For me Freebase was basically cherry-picked.
Meanwhile, the data we extract is more pertinent to the goal of having Wikidata cover the info boxes. We still have ~ 500 million statements left. But none of it is used yet. Hopefully we can change that.
Meanwhile, Google crawls all the references and extracts facts from there. We don't have that available, but there is Linked Open Data.
On September 27, 2019 5:26:43 PM GMT+02:00, Gerard Meijssen <firstname.lastname@example.org
I totally reject the assertion was so bad. I have always had the opinion that the main issue was an atrocious user interface. Add to this the people that have Wikipedia notions about quality. They have and had a detrimental effect on both the quantity and quality of Wikidata.
When you add the functionality that is being build by the datawranglers at DBpedia, it becomes easy/easier to compare the data from Wikipedias with Wikidata (and why not Freebase) add what has consensus and curate the differences. This will enable a true datasense of quality and allows us to provide a much improved service.
Sent from my Android device with K-9 Mail. Please excuse my brevity.
Wikidata mailing list