Revolutionizing map use in Norwegian newspapers

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Revolutionizing map use in Norwegian newspapers
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Seoul, South Korea

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Norway represents one of the countries with most newspapers and media outlets per person. One topic that has an everlasting interest is land registration data - or more commonly: Who bought which properties and what was the price. Land registration data has always been a public data set. Every citizen can request specific information on who has rights to which properties. Up until 1. January 2014 the digital version of this data set was monopolized by law to one vendor - obviously inhibiting innovation. Starting in 2014 - land registration data has been opened and is now accessible to everyone. Webatlas seized this opportunity and hired two summer interns. The task was fairly easy: "Revolutionize the way land registration data is used in local newspapers." After two hard-working months the resulting web application was used by a local newspaper with great results. The newspaper could finally showcase an interactive leaflet map displaying all real estate transactions in the area of interest. Behind the scenes the interns experienced a steep learning curve using PostGIS, GeoServer, Leaflet and a range of excellent plugins. Some of the more stable parts made it to the general use with an Open Source license on GitHub. Today. The solution is used in the majority of Norways newspapers - now showcasing more maps than ever! All made possible by two excellent interns, open data sets and well proven Open Source software components.
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M. so my name is Chad
Sumner set so I'm a developer from Norway how work at a company called mood cuff and I'm here to talk about revolutionizing not using a leading newspaper now I realize that circuit football title in that if you came here thinking you're going to see in a region version of Microsoft that you might end up being a bit disappointed that I am going to talk about uh generating values using cheap students labor of open source and software and open data and if I start with that on the cell line that you know when people get up you have an 11 fancy stories about how the company has helped out in the open source community I cannot really say the same yet for the the company I work for and a hand the entirely traditional software vendors who the south of sailing developing in and maintaining proper proprietors suffered that in 2013 we start a new branch could that as and I really trying to get into open source development so and the backdrop for the state and is the land registry Mary and that some events that took place in 2014 that prior to 2 dozen 14 but the distribution of all this dataset was monopolized by when state-owned company and as a 1st of their generally 2014 however this was made publicly available and that that sisters opportunity to get over the data set is not too bad that least it's available for people the and so we this exactly when and where just read that well it's basically a transnational they're set to so which property to whom and for how much money and I would not be interesting way of especially those with interested in that it would
this goes further in major cities in any of the cylinder live and and the prices are going up and that women are going up has enabled for 25 years straight you end up with that you do not being able to get into the market you can embed this at the end of the day it's a really interesting topic for many people and how has this been covered in this prior to 2014
situation with monopolized uh dataset where and as you can imagine when state-owned company that only the owner of this set you end up with that not too many exciting uh uses of the data so the industry that was posted in time for the every 30 days and then I mean in a literary newspaper and online so and and this is despite the fact that they have we
use uh in online newspapers were more often you need papers newspapers and and this also holds true for the generation so that this was the fact that the case back in 2004 as simple quite but the so the challenge for us to turn this data into
the type of film that we saw on in newspapers into something online uh an available for the uh because they actually are on the internet and then the solution that we have a handful of setting this
challenge was to hire to summer interns and we have them for 2 months and then at the end of that project we were supposed to start in the market and what needs to be taken into account that uh I mean there were no 1 else there's
so basically as soon as we got something into this market we would on it so there's a basic strategy in doing that is really easy when you can stand on offenders giants so we basically took this dataset just squeezed into post there's getting updates every 15 seconds from the mapping of 30 during um for that didn't come about with and then used you server-to-server data and the WFS calls on which can then be visualized in flipped matters the basic outline of the whole thing on top of those who have the students as a usability PHP kind of uh titles together um for handling indifferent to uh you user requests and so forth and it is also important to have her so that the decisions that shouldn't have that much but when programming experience you there that is an electronics
engineer had really been programming at all to the realism of the geek in all adventure delisted from a about t had never proposed weren't USA the the and so it has come of the Icelandic
that base for the project and and then they
got coding together with a local newspaper that was kind of our pilot customer will help them uh the allows you know what do we need how should this is head and so on the they also tried to do a bit of open-source development that is that a bit difficult but I mean you can just there's something something out and it had been expected to become a popular library that if you want to check it out you're free to check up a detailed account on yet it and this is the and then there be that
they came up with and it basically allows you to select a region of interest uh and and different filters based on for instance time for the transactions and also the amount for the the the transactions that occurred at the time of the different types of property that was so listen option was a closure as and so on this makes it very easy to to content of the dataset to be good news article that you writing uh and that's extremely easy to use you basically click the get code that way then you can just squeeze this into a news article and this is something I have been used by the RNN and uh editors and journalists since the kinetics of surface and that that simple that's not hard to the biblical works on that well and so this is where you know that when
when you can't really do yeah and when you click the decoding and paste those things into news articles and we can get the amount of let me use in and not with the time information for the different transactions that has taken place and it says that uh also contains the history of the transactions you can uh and back to the beginning of the dataset and see that you need to know about the house and so on in so and this actually turned out despite the simplicity of the
solution to be a great success um OK as a part of the reason is that it was released in 2 thousand 14 and there are known as doing this at the time so it was very easy to get in there we basically just had to contact people no suddenly had paying customers and for months after the start of the project and when you after the majority of the newspapers and actually use a solution and so
you could say that the this really shows how Open Data has opened up data then the government side from the mapping ability and so on it really helps generate to improve innovation and we need that actually so working at our company issued basically created on job I finishing this project and she's not that 20 per cent of part-time job uh well she's finishing her studies and we also see that we we're are seeing a lot of them uh all we would find that you have improved the products and services in this in this region uh every namely that we also see that uh we are competitors have after we have finished this project uh Standard uh challenging us as well interested but maybe the most impressive things uh will also see that the the news that the media has really gotten rise up from maps is started looking into maps uh but we would say that this was a sparks that kind of started all and the the road ahead
so the market has basically buried in this stunts that entered a new market area and now we can you can use the reputation of the beginning and end fervid developed the existing products but also uh develop other products uh so uh actually last nite I think there was a general election monitoring and uh we then created a like update maps uh the election results in memory in those kind of something that's has an offer of this project because we basically got into a new markets and that really opens up many possibilities he can get a foot in the door in many ways and the of and that this with a Spencer opening up at Carter did you actually we have really stepped on on and what is needed here is actually the underlying data set you have so many really good uh uh online applications now and so this does not really compared to car to the b for instance where we can help the customers with this actually the veteran the datasets and datasets sets that need a we can uh so uh analyze them and generate new data sets and then just elected dump into account B so that's actually a new business model that list using now and I think the journalist really enjoy it because now they can use their favorite to offer a critical mass for the news articles and so to have gone up the letters in the beginning and it is a probably a bit of an overstatement of 2 so that we have the pollution has at least media but uh I would say if you look at you know the past and what it looks like now uh we really helped push forward with the maps in Norwegian media and it has actually changed our business strategy and we have less things along the way and have really helped us to kind of embrace open sewers in Open Data in a new way and that I we have served as a has increased innovation in the media industry in in there that we got a new student and parent maybe the teachers after uh after she so grand graduate to as well now and I sit on top of quickly here so I think In a actually before the scheduled uh FIL yeah that's better with forming over any questions what is the value of this I and the return-on-investment space is actually pretty neat so basically you have 2 months to students that is and hours but maybe trying In that it's at least 10 further so that the underlying revenue that we have from this is actually 10 times the initial investment uh of course uh was that's a good answer and maintain codons on there has definitely been a very profitable on profitable endeavor and in those so I think it out of that can kind of uh uh I don't spend people seem to be this same like can use open source and use open data and you innovation and it was there any resistance or push back to using open-source was an unfamiliar we the topic of open source software approach to I don't think had that ultimately decide yes what's going this is the only thing inside the firm the yeah OK yeah so definitely uh I think cop a few years back that would have been a lot of resistance and like I said this branch started up in 2013 with the work of course using a bit like you know injury uh departments of you know discussion because if you have a certain type of business model off about proprietary 1 for so long it a bit of time to come the mind set but I think people are you know just by looking at what's out there it's it's it's kind of like additional that's not really a discussion I was anymore and the the content from the national larger Finland you know in middle houses or newspapers in town and rooms there's various SCS this conception of sessions were already can work and then in the family that workers ultimately do have their own you digital tradition yet and that's absolutely free from 0 as well so in our case we use the uh the Norwegian broadcaster like BBC the they have their own the team there are actually using a local to the um also major newspapers do have their own teams uh so we basically uh target with this approach was not the major newspapers like the bigger up Boston because they have their own team work in teams working on that but at the end of the day and then have 20 smaller ones or 2 big ones it's going generate the same amount of money so to us that's not so uh uh important but yeah and then definitely you had to have their own teams and there and let's so we have a common part of part of the beginning to provide them with the workers than that's often what their use and I'd seen a least in so uh then we kind can get in there as well without actually the the because him yeah let me answer your question the the and and grammar so early in the developing deciding where other actors not aware event or were they not interested in the possibilities and it could have been but lucky shot actually I am so I didn't actually I wasn't even higher when this started uh but uh I think it was a bit of a shot in the dark and it's really just hit you know the the camera on the head something could and then and then they started this would actually take off so many of you just a bit lucky but I mean soon after so basically the key things on the market soon after so maybe they had started you know and we just don't really know how much they were influenced by astronaut and the like you that


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