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Wikidata

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Re: Wikidata

#51
post #5

Earlier quoted context omitted.

Unlike DBpedia, Wikidata is not structured content extracted by parsing Wikipedia articles, but instead a structured collection of factual knowledge created by human editors.

Human editors, and many many bots.

True, but then there are also quite a few bots editing the Wikipedias. In the end, bots are still run by humans, and are subject to prior community approval.

Re: Wikidata

#52
post #24

SPARQL over Wikidata is one of the closest things to magic on the Internet. It's incomplete, the runtime is slow, it dies on too much data, but it's amazing being able to think up random questions and actually ask them, however frivolous. Stuff like "who's the most successful footballer from my home town?" or "which part of India has produced the most test cricketers?" is really easy. Makes me wish I'd taken the quan…

I found SPARQL pretty hard to deal with. Some time ago I wanted to make an overview of various election results to prove a certain point. The data is in there, I can see it in the UI, but I had a lot of trouble writing a script to retrieve it (so I could make a nice table and/or chart). Basically, after an hour I failed and gave up.

I will readily admit this is due to my own ignorance; I just wanted to post a point in a Reddit comment and investing a lot of time to properly learn SPARQL wasn't worth the effort, but I wish the data was more easily accessible without a fairly large time investment. WikiData is basically the only structured source for these election results that I could find (the government publishes them of course, but in a PDF that's always different).

And I'm a programmer by trade! Non-technical people will have an even harder time.

WikiData is pretty good, but I feel it could be truly fantastic if the data was more easily accessible.

Re: Wikidata

#53
post #52
post #24

SPARQL over Wikidata is one of the closest things to magic on the Internet. It's incomplete, the runtime is slow, it dies on too much data, but it's amazing being able to think up random questions and actually ask them, however frivolous. Stuff like "who's the most successful footballer from my home town?" or "which part of India has produced the most test cricketers?" is really easy. Makes me wish I'd taken the quan…

I found SPARQL pretty hard to deal with. Some time ago I wanted to make an overview of various election results to prove a certain point. The data is in there, I can see it in the UI, but I had a lot of trouble writing a script to retrieve it (so I could make a nice table and/or chart). Basically, after an hour I failed and gave up. I will readily admit this is due to my own ignorance; I just wanted to post a point i…

You have to be familiar with Wikidata's underlying model and how the data you care about are mapped to it, but having done that it's just a matter of picking one of the many example queries and tweaking it so it references the right bits of data.

Re: Wikidata

#54
post #52
post #24

SPARQL over Wikidata is one of the closest things to magic on the Internet. It's incomplete, the runtime is slow, it dies on too much data, but it's amazing being able to think up random questions and actually ask them, however frivolous. Stuff like "who's the most successful footballer from my home town?" or "which part of India has produced the most test cricketers?" is really easy. Makes me wish I'd taken the quan…

I found SPARQL pretty hard to deal with. Some time ago I wanted to make an overview of various election results to prove a certain point. The data is in there, I can see it in the UI, but I had a lot of trouble writing a script to retrieve it (so I could make a nice table and/or chart). Basically, after an hour I failed and gave up. I will readily admit this is due to my own ignorance; I just wanted to post a point i…

Yeah, happy to admit SPARQL itself is hard, and every query requires having five wikidata tabs and three stackoverflow ones open. But, I find myself battling through because the results are worth it.

Re: Wikidata

#56
post #55

It's also used in OpenStreetMap - "Wikipedia for maps", referenced a lot lately on HN. Main website: https://www.openstreetmap.org/ Wikidata tagging documentation: https://wiki.openstreetmap.org/wiki/Key:wikidata

My favourite example is linking the street names from OpenStreetMap with the gender of the persons name from Wikidata ID to produce visualisations of the gender distribution of street names in (European) cities: https://equalstreetnames.eu

Re: Wikidata

#57
post #10

Wikidata is a fantastic data source for all sorts of applications, not just for the Wikimedia projects (infoboxes, templates, etc.). I'm also excited about the Wikifunctions project ( https://en.wikipedia.org/wiki/Wikifunctions ) to created a large body of executable snippets that can be applied to data types. Wikidata is one of the main data sources in my Conzept encyclopedia project: https://conze.pt ( https://twit…

Like the UI a lot. Very interested to know what kind of user base you currently have and what use cases you've built it for.

Thanks! I spend a lot of time tweaking the UX. Its not easy to build a fluid and fast experience (especially on mobile).

The user base is still small, which is fine, as there are still many small issues to fix. I'm having a lot of fun developing this and hearing the feedback of users.

I started the project mostly for myself, to have a more integrated topic exploration tool, but things grew to also be of use to others. I think the main use case is just learning about topics of personal interest. I would like to experiment with some social features in the future (eg. ephemeral audio chat for topics).

Anything you would like to see?

Re: Wikidata

#58
post #10

Wikidata is a fantastic data source for all sorts of applications, not just for the Wikimedia projects (infoboxes, templates, etc.). I'm also excited about the Wikifunctions project ( https://en.wikipedia.org/wiki/Wikifunctions ) to created a large body of executable snippets that can be applied to data types. Wikidata is one of the main data sources in my Conzept encyclopedia project: https://conze.pt ( https://twit…

What's the URL to Wikifunctions? The Wikipedia article doesn't have a link to it.

Re: Wikidata

#59
post #10

Wikidata is a fantastic data source for all sorts of applications, not just for the Wikimedia projects (infoboxes, templates, etc.). I'm also excited about the Wikifunctions project ( https://en.wikipedia.org/wiki/Wikifunctions ) to created a large body of executable snippets that can be applied to data types. Wikidata is one of the main data sources in my Conzept encyclopedia project: https://conze.pt ( https://twit…

What's the URL to Wikifunctions? The Wikipedia article doesn't have a link to it.

It's not launched just yet, there are some very early unofficial mockup sites with some basic functionality.

Re: Wikidata

#60
post #52
post #24

SPARQL over Wikidata is one of the closest things to magic on the Internet. It's incomplete, the runtime is slow, it dies on too much data, but it's amazing being able to think up random questions and actually ask them, however frivolous. Stuff like "who's the most successful footballer from my home town?" or "which part of India has produced the most test cricketers?" is really easy. Makes me wish I'd taken the quan…

I found SPARQL pretty hard to deal with. Some time ago I wanted to make an overview of various election results to prove a certain point. The data is in there, I can see it in the UI, but I had a lot of trouble writing a script to retrieve it (so I could make a nice table and/or chart). Basically, after an hour I failed and gave up. I will readily admit this is due to my own ignorance; I just wanted to post a point i…

I think a big reason that sparql is hard, is it looks like SQL but has a really different data model. People who know sql tend to apply sql intuitions to sparql, which leads to confusion. But once you get past the learning curve its really not that bad.
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