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project:lotd [2013/03/23 07:21] – fabiancretton | project:lotd [2013/03/23 16:48] – annelecalve | ||
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- | ===== Linked Open Tourism Data ===== | + | ===== SLOTD : Swiss Linked Open Tourism Data ===== |
- | (screenshots or sketches up here) | + | {{ : |
- | The idea is to convert available tourism statistical data (e.g. nights, occupancy, by canton) to semantic web data (RDF), and link those data to make them part of the [[http:// | + | **Link the Swiss Open Tourism Data to the World Linked Open Data.** |
- | This project will thus fullfuill | + | |
+ | 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 statistical data (e.g. nights, occupancy, by canton) to linked open data format | ||
+ | This project will thus fulfill | ||
+ | |||
+ | {{ : | ||
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. | ||
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Those statistical data will thus be linked to other Linked Open Data sets (as [[http:// | Those statistical data will thus be linked to other Linked Open Data sets (as [[http:// | ||
- | We did add extra links to a very valuable but non RDF data source (so far ;-)): 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 and its RDF extension to transform those raw, messy data. | 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 and its RDF extension to transform those raw, messy data. | ||
- | We based the RDF schema on the [[http:// | + | 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' | 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 ===== | ||
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===== Team ===== | ===== Team ===== | ||
+ | * [[user: | ||
* [[user: | * [[user: | ||
* [[user: | * [[user: | ||
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* Blog or forum posts ... | * Blog or forum posts ... | ||
| | ||
- | {{tag> | + | {{tag> |