WEBVTT

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Thank you all for coming here, I'm John Samuel and I'm going to present a talk on from open collaboration to customized control, transitioning from Wikipedia to Wikipedia.

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Just to give a quick idea about what you can expect from this talk.

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So basically, I want to focus on open collaboration and self-hosted data management.

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So these are the two points that I want to focus on.

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Then you can see some sort of flexibility and integration.

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And the question that I want to ask in this talk is why Wikipedia's,

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you may have heard about Wikipedia, if you haven't, I will give a small introduction.

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So Wikipedia is something which is open, multilingual and collaborative.

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And then there is Wikipedia, that's going to be useful for your specific data needs.

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So this is what I'm going to talk about in this talk.

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So just to give a quick presentation, I am...

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Sorry.

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Yeah.

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I'm associate professor in C.P. Leo in France.

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And I work on software design and big data.

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That's my area of teaching.

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And I'm an active contributor in Wikim data and Wikimedia comments.

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Basically, I work a lot on knowledge representation and data analysis.

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And I'm very much interested in integrating data from different sources.

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And that's also my PhD thesis.

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So what's Wikipedia?

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I do not know how many of you know about Wikidata.

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Wikidata is a sister project of Wikimedia, which was launched in 2012.

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And it's a collaborative project which was aimed to create structure and link knowledge base.

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So it basically is a free and open.

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Then exactly like Wikipedia.

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And then you have something that's very interesting that this is a linked and a structured knowledge base.

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You can still have the collaborative aspects of Wikipedia.

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And you can have you have something that's multi-lingual.

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That's the best part of Wikidata.

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So what's so special about Wikidata?

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There are many advantages.

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You can talk hard on this topic.

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But what I really love about Wikidata is the evolution of Wikidata.

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Sorry, evolution of the Wikimedia projects.

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You have got a lot of Wikimedia sites for each and every language and on multiple sub domains.

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And here in case of Wikidata, you have a single domain.

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And you can get the data in all the languages.

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So to give you more precise, I have taken certain examples.

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Here, for example, this is a cat.

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And you can see that in this example, you have cat in different languages.

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You have an English cat.

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You have in French, Shah, in Spanish, Gato, etc.

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On the other side, on the right hand side, you can see there's one single number that is Q1 for this.

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And that is going to be used to refer to cat.

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Similarly, for example, example, the word example has been translated in different Wikipedia pages.

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But on the other side, you have a single entry, and you can use this page.

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Same for the place where I come live currently.

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And you have multiple pages, but you have a single entry on the Wikidata side.

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So let's take some simple examples.

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If you have never heard about Wikidata, I want you to, if you are on Wikipedia,

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you can test, go to Wikidia for us then.

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And you see this page on Wikipedia.

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Now you're wondering where I can find Wikidata.

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So if you can see, carefully, this is quite weird.

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On the right hand side, you have got a toolbar on that side.

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And then you have some other options where you can see in other projects.

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Wikidia comments, media, Wikidata, and there you are.

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You have got the Wikidata item.

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So when you click on the Wikidata item, you come to this page on Fosdem.

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So you have a Fosdem entry.

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Please be careful that from now onwards, we're not going to just talk about Fosdem.

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We're also going to refer Fosdem from its identity fire, which is Q475430.

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And we are going to talk about all these aspects of Fosdem from this particular point.

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And I will talk about the structure data perspective.

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Sorry, I have no clue.

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Yeah, so why did we come up with Wikidata and what was already there?

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So before Wikidata, people were actually putting lots of information on Wikidata.

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So I'm going to keep on Wikipedia in form of info boxes.

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And where you put essential information, like for example, you are a software.

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You talk about the licenses, the logos, et cetera, on the official websites.

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Or about if you are talking about human beings or actors, you have those information like data,

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birth, location, statistics, et cetera.

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So you have got lots of such information.

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And sometimes you also have links on Wikidata, depending on the projects where you're working at.

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And now what we can see on this side, I'm trying to show you three examples.

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This is the English Wikipedia page.

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Please check always the right hand side of my presentation.

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You have got the info box with lots of information, general, the type of conference, the location, the concrete, et cetera.

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Now I move on to the French Wikipedia.

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You see the number of information is a bit reduced.

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And you have done have all those information in their info box because the community has decided not to document all the information.

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That's up to the community, the French language community.

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And then now what I go now is to the Spanish Wikipedia.

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And you see, again, they have got a bit surprised.

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They have got lots of information on Wikidata, on false them, really, to the conference.

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So it's community had decided lots of information.

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It's good you have lots of information about these of the false conference and people can get a quick idea, just by looking at info box.

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This is a very nice idea about info boxes.

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So one thing about info boxes is very accessible.

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You can create a uniform information for different topics like cities, human beings, actors, scientists, etc.

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You can allow collaborative updates and you can also link them to Wikidata.

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And that's really interesting.

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But there is a simple problem.

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This is something that I normally show to my students.

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I have taken, this is a screenshot of my, one of my talks, one of my classes.

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I explained to my students the problem related to having multiple information in the info boxes when it's not controlled easily.

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You have got the population information and if you see carefully, not on different Wikipedia's.

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Wikipedias, this information is not up to detail in Wikipedias information from 2009.

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Whereas other Wikipedias have information.

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I have the latest information, like for example, 2015.

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So this is a major problem.

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So you do people who are, you know, Italian speaking, do not get the latest information from Wikipedia.

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And it's not a good idea.

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So one way to think about this is let's take this information directly from Wikidata.

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And feed it to the information.

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But again, of course, it has to be decided by the community.

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Every language community has to make a decision.

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For example, French language community has accepted to integrate it to many, many of their Wikipedia pages.

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But and Spanish and also many other Wikipedia communities.

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But not all languages just to be frank.

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So you, what, so you can one can say that, okay, this is good to have info boxes.

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But you know that there are multiple info boxes.

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You have the problem of redundant information, different languages.

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And you cannot ensure an up to date information on all the Wikipedia.

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So we have got an idea that this is really impressed, important.

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So we have to have Wikidata, somehow which can be used to document lots of information.

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And here what I'm talking about is this I'm coming back to first him.

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I'm taking the exact examples.

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So as you can see on Wikidata you have got different languages.

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You have got the labels in different languages.

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You have got the small description in different languages.

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And also as well as the aliases.

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So what happens is that once you have translated one particular item, you need not translate again and again and again.

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You just have to say, give me the label of French, give me the French label for this particular item.

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And you get the information.

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This is really useful.

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And then we can talk about the properties.

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For example, are these things that can be used to describe our entity.

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So you have got the data operation of first them.

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You have got the local image.

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You have got the images from the from the first them again on the same page.

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So these are the properties.

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These have been decided by the community.

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Wikidata community and they identified these properties to describe first them.

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And so I want to give this example.

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I want to use this example throughout my presentation.

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So what did the community decide?

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The Wikidata community decided that for explaining conferences like first them.

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And have used some sort of concepts.

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For example, instance of it is like for example,

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first them is an annual conference.

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First them is a convention series.

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First them is a recurring event.

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And the date of creation, the location, the continent and the country.

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This is what we want to describe and we want to use it.

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But this is only English.

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We want to do it in all the languages.

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So there we go.

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Now you have got the properties instead of saying instance.

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So we're going to say it's p31 and we say it's whenever I say p31.

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It means I have to talk I am talking about instance of.

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And whenever I say p17, I'm talking about the country.

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So that's the advantage.

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So it's English label for the p70.

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And now that's the label side.

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Again for each and every aspect, we have got the labels.

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Sorry, the identity fires for each concept.

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Please note we will reuse this number.

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Q 5 6 2 blah blah blah.

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Later in the example.

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And this is very useful because we can say that it's an annual conference.

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This is a conference series and you have a label for an identity fire for all of these.

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Please also note that there's piece of Stanford properties and Q for the normal items.

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Now we have got this type of information on wiki data.

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We can represent this information.

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We can use the properties.

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We can also use qualifiers.

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For example, if you want to give additional information.

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How precise is your date or how did you get this information?

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Is it a census method?

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You can add additional information.

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And of course, just like Wikipedia, you can talk about or you have to add references.

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So you can also add additional information about each and every aspect that has been mentioned on the previous slide.

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So this is a very important example.

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Finally, one thing that's very important is that an item on wiki data is just a loan.

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We want to create a system where everything is linked with other databases.

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Here what you can see if you are still on the wiki page of the first name.

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You see additional identify for example.

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That ID, free based ID, Instagram username, master, and address etc etc.

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So all these is additional information.

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And all these also links your data to other open databases.

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And then you can if you don't have all the information on wiki data.

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You can also use these data from other sources to create an integrated view of the particular entity.

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Now what this is not a new concept.

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This has been studied a lot in the context of linked open data.

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People have been thinking about how we can use all this open databases and link them together.

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So that whenever we want to do certain analysis, we can use all these databases.

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Get them from a relevant information and use it for a whenever needed.

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So linked open data requires certain conditions.

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First thing is that you need to have unique identifier.

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So you have seen that in case of wiki data, you have those unique identifiers.

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You have got the data in a form of principles.

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For example, stop-check, predicate, and object.

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For example, when I said, first-damn inception, free February 20, 2001, etc.

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So you have your script, the triple way of information.

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And finally something this cost-packed protocol, where you can use this protocol to query the data from these systems.

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This is really important because we are ensuring the open landscape in the whole data analysis.

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So just to give you an idea, you will see.

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You see what happened in 2009.

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Initially when LOD started, people started linking their database.

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This is just the initial aspect.

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And then suddenly, in 2010, people understood the importance of linking their databases together and have more data about a particular entity.

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And so we have something like that in 2008.

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All those circles are databases, open databases.

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And this is from 2024. You see the October 2024.

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You see there's an explosion of open databases, databases, and all of them decided to link each other.

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And this is really interesting because you can get additional information.

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One thing that I want to also talk about is the sparkle protocol.

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For example, in this case, what we can see is that once you have represented your data,

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you can also query the data, like for example, give me all the annual conferences that's happening everywhere in the world.

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This is a simple thing.

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As I told you, please remember the number.

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Give 5-6 to corresponds to annual conference and P-301 corresponds to instance of.

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Just by writing this on wiki data, you can get all the annual conferences around the world.

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So this is a really interesting aspect of wiki data.

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So forget, now that's really about wiki data, but why what's about wiki base?

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Why do I talk about wiki base?

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So when you work with wiki data, as you know that when you work with wiki PD,

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you have got lots of community-based decisions, not everything can be so easy to handle.

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For example, if you want to create new properties, you want to add certain information,

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you cannot easily add them because the community decides what is relevant and what is not relevant.

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What is notable, what is notable, etc.

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So one thing that is what I want to focus about is what if I get all those things that are possible with wiki data,

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and I have this additional thing self-hosted instance.

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That is that I have everything that I can do with wiki data, but it's my own local instance,

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and where I can do things like that, but I will have the complete control over my data.

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So this is what I'm going to talk about when the wiki base perspective.

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One thing that you would like to do in case of such a work is that you need to have licenses that are correct

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to your institutions license or correct to your personal needs.

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So license is important. By default, the license of wiki data is CC-0.

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It's like almost equivalent to the public domain, but with the license.

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But maybe in real life, you cannot do that because of certain regulation by your institutions.

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You have sometimes forced to use CC by NC and SA, etc.

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So you have to decide, so you have to make a compromise.

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And you say, OK, I will use CC by NC and SA, and I will use wiki base.

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I do not want to go in detail about the openness of these licenses, but you know,

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and in the bottom, you have the copyright and the top, you have the CC-0.

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So let's go back to the same example.

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If I want to say that, I do not want to, if my own wiki data, I want to do something that is not possible and make a data.

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I want to do something in my side.

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So I said, let's remove convention cities.

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I don't care. I'll remove it because it's my day instance, my own database.

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And then I want to add something called video.

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And in this case, this video is linked to the forced envelope set.

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It's not a link to certain restrictions or proposed by the wiki data company.

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It's just my own links is on my database, so I want to do this.

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So this is possible.

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So what I want to show is that I want to give you a personal example.

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In this case, I have written an article for example, back in 2015.

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It's an opinion article where I said, I need to think reading the command line.

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And in that case, I created a database.

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And I want to, it's not notable. I cannot put it on wiki data.

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But I want to create my own wiki base and I created this page with all my own information.

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Where I said, I want to talk about this page.

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This is title, language of work, instance of creation, etc.

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And all these are my own properties and all these are my own items.

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They are not related to wiki data.

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And this is, for example, my course page.

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And I want to include information, French, and English.

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For example, the title, the language of work, the nature of element, etc.

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And it's the wiki base, as you see, it's exactly like the wiki data.

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And now what I want to do is I want to also link it to wiki data.

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Because as I said, my goal ultimate goal is not to just be alone in my car.

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But allow the open landscape, where people who want to use my data can use it.

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But also can see what is the equivalent property.

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For example, P27, my wiki base instance is the same as P1476 in the wiki data community.

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And same for other things, you can create equivalent properties, etc.

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And what's the advantage?

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So you can get all the properties with this example.

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So what's the advantage with this?

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So I can say, give me all my courses sorted by Academy here.

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And this is my personal information.

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And it's just coming from my own wiki base cloud.

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It's nothing from the wiki data.

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This is my own information.

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But at the same time, I can also say, I want to link my data to wiki data.

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For example, oops.

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And I also get information from wiki data.

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For example, I'm trying to get all the translation, all the information related to official website from wiki data.

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So this is my wiki base.

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And I'm also getting data from wiki data on my side.

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So trying to be integrating more and more data from open databases.

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If you want to feel interested, you can try wiki base.cloud.

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This is something that I use for my personal lead.

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If you are really geeky enough, you can use the darker images of wiki base.

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If you want to do it on your own side, it's also possible.

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There are so many people who have used these things.

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Like, there are already 744 open databases.

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And what I wanted to talk about in this talk is that you can use wiki base for personal or institutional,

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especially if you are in the glam field or in the museum, especially museums.

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You do not cannot put everything on open with open licenses.

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Or if you are working with the personal data, you can use your own wiki base.

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So these are some of the online resources.

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And thank you.

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Thank you very much.

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Any questions?

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Any questions?

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No? Okay.

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Great. Thank you.

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Thank you.

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Oh.

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There is.

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Oh.

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Oh.

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Oh.

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Oh.

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Oh.

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Oh.

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Oh.

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Oh.

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Thank you.

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I was wondering that it may be more related to wiki data.

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What the condition to make new data in wiki data?

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Because I know on wikipedia, you cannot just open a page for any subject.

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Yeah.

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There are similar restrictions.

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Yeah.

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The main problem in opening up is like you have to be very careful about the license.

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If your data is not with the CC by or CC zero license, it's not possible to include it in the

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in the wiki data system.

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So that is why we need something like wiki base because you can still integrate with wiki data using

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February to create something that I demonstrated here.

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But you cannot put that on wiki data.

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So one thing that's important is the license and then also the community agreement.

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Not everything can be put up on wiki data because of notability reasons.

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Because you cannot say that's that this and particular information is really notable enough to be put on wiki data.

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So these are very delicate questions and sometimes people what mostly what people do is

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they try to put this information in wiki base and show it to the world that this is really advantages.

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And then if the license is CC zero, you can just import it to the wiki data and that's all.

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Thank you.

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Thank you very much.

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Thank you.

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Thank you very much.

