Differences
This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision Next revisionBoth sides next revision | ||
project:lotd [2013/03/22 18:20] – azappella | project:lotd [2013/03/23 16:49] – [SLOTD : Swiss Linked Open Tourism Data] annelecalve | ||
---|---|---|---|
Line 1: | Line 1: | ||
- | ===== Linked Open Tourism Data ===== | + | ===== SLOTD : Swiss Linked Open Tourism Data ===== |
- | (screenshots or sketches up here) | + | {{ : |
- | The idea is to convert available tourism data (e.g. nights, occupancy, by canton) to semantic web data (RDF). | + | **Link the Swiss Open Tourism Data to the World Linked Open Data.** |
+ | |||
+ | Open data (and data in general) are often isolated silos. Linked open data aims to connect these solitary informations to the other data sources in the web. If each data are linked, we can jump from link to link to retrieve and discover new knowledge. | ||
+ | |||
+ | The idea here is to convert available tourism | ||
+ | This project will thus fulfill the maximum data quality according to [[http:// | ||
+ | |||
+ | {{ : | ||
For the user, a graphical representation of the canton is provided which holds additional information (e.g. population, number of music festivals). This information forms the basis for further navigation. The additional data is gathered via smart linkage of different open data sources. | For the user, a graphical representation of the canton is provided which holds additional information (e.g. population, number of music festivals). This information forms the basis for further navigation. The additional data is gathered via smart linkage of different open data sources. | ||
+ | |||
+ | This demonstrator, | ||
===== Approach ===== | ===== Approach ===== | ||
Line 11: | Line 20: | ||
To create an added value, different information from various data sources must be linked together. Many data sources implement the RDF format to describe their meta data. That's why we're going to use as much RDF data sources as possible. | To create an added value, different information from various data sources must be linked together. Many data sources implement the RDF format to describe their meta data. That's why we're going to use as much RDF data sources as possible. | ||
- | Some of the main difficulty in the beginning is the transformation of existing (meta) data into the RDF language. We started with an excel file and used Google Refine to transform those raw, messy data. | + | Those statistical data will thus be linked to other Linked Open Data sets (as [[http:// |
+ | |||
+ | Some of the main difficulty in the beginning is the transformation of existing (meta) data into the RDF language. We started with an excel file and used Google Refine | ||
+ | |||
+ | We based the RDF schema on the [[http:// | ||
+ | |||
+ | Linked where defined between the swiss cantons and their DBPedia URIs. Then geoNames about.rdf files about the cantons where also downloaded. The link between geoNames and DBPedia already exists in those about.rdf files...that' | ||
+ | See also all the [[http:// | ||
+ | We did add extra links to a very valuable but non RDF data source (so far ;-)): http:// | ||
To visualize that data, we're currently using an svg+javascript approach. | To visualize that data, we're currently using an svg+javascript approach. | ||
+ | |||
+ | **Global Visualisation** : all is linked... **Jump link to link** | ||
+ | {{ : | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | ---- | ||
+ | |||
+ | ---- | ||
+ | **Linked Queries across linked open data** : all is linked... **Form SLOTD to DPBedia** | ||
+ | {{ : | ||
===== Data ===== | ===== Data ===== | ||
Line 31: | Line 61: | ||
===== Team ===== | ===== Team ===== | ||
+ | * [[user: | ||
* [[user: | * [[user: | ||
* [[user: | * [[user: | ||
+ | * Sabrina Huth | ||
+ | * Sebastian Veit | ||
===== Links ===== | ===== Links ===== | ||
Line 40: | Line 71: | ||
* Blog or forum posts ... | * Blog or forum posts ... | ||
| | ||
- | {{tag> | + | {{tag> |