Closed pe3 closed 11 years ago
The problem is data modelling. Modelling the data as RDF in a graph format is something that requires some user involvement. However plenty has been written on the topic (hint: search google for "csv to rdf"). Have a look here: http://www.w3.org/wiki/ConverterToRdf. Once you have the data into RDF, you can save it in N3/turtle format and import it with levelgraph-n3.
However, you can simply parse the csv with node.js and store it in levelgraph as follows:
If in the process you add a Wiki page, I will be extremely grateful :).
BTW, storing it as RDF can be simplified by using URI as identifiers for subjects, predicates and objects (where approriate, i.e. when the object are not values, but links to other entities).
Thanks. Will do at some point. For the weeks to come I will be traveling and enjoying summer. But when I do I will also have a look at OpenRefine and LODRefine.
Ok, I'm closing this! Ping me if you need more help!
Hi Petri @pe3,
What did you end up using? Did you find a mapping system for node?
We've been working on tools like Karma, The DataTank and LODRefine. You can also read a paper about extending R2RML to RML over here
I'm quite new to semantic technologies. I would want to test the database with a dataset from the Finnish tax authorities. It is about taxes paid by companies. How should I go about to transform the data to triplets? Is there some CSV2RDF tool I could use so that levelgraph-n3 would understand it. I just found Rasqal but didn't test it.