[Moose-dev] Re: [Pharo-business] [ANN] DBPedia: Query Wikipedia from Pharo

2014-03-02 21:22 GMT-03:00 Alexandre Bergel &lt;alexandre.bergel(a)me.com&gt;om>: I’ve just tried and it works pretty well! Impressive! Below I describe a small example that fetches some data about the US Universities from DBPedia and visualize them using Roassal2. Pick a fresh 3.0 image. First, you need to load Hernán work, Sven’s NeoJSON, and Roassal 2 (If you are using a Moose Image, there is no need to load Roassal2 since it is already in): -=-=-=-=-=-=-=-=-=-=-=-=-=-=-= Gofer it smalltalkhubUser: 'SvenVanCaekenberghe' project: 'Neo'; package: 'ConfigurationOfNeoJSON'; load. ((Smalltalk at: #ConfigurationOfNeoJSON) load). Gofer it smalltalkhubUser: 'hernan' project: 'DBPedia'; package: 'DBPedia'; load. Gofer it smalltalkhubUser: 'ObjectProfile' project: 'Roassal2'; package: 'ConfigurationOfRoassal2'; load. ((Smalltalk at: #ConfigurationOfRoassal2) loadBleedingEdge). -=-=-=-=-=-=-=-=-=-=-=-=-=-=-= Using Roassal2, I was able to render some data extracted from dbpedia: -=-=-=-=-=-=-=-=-=-=-=-=-=-=-= | map locations rawData rawData2 rawData3 | map := RTMapBuilder new. map countries: #('UnitedStates' 'Canada' 'Mexico'). map color: Color veryVeryLightGray. rawData := DBPediaSearch universitiesInUS. rawData2 := ((NeoJSONReader fromString: rawData) at: #results) at: #bindings. rawData3 := rawData2 select: [ :d | d keys includesAll: #('label' 'long' 'lat') ] thenCollect: [ :d | { (Float readFrom: ((d at: 'long') at: 'value')) . (Float readFrom: ((d at: 'lat') at: 'value')) . (d at: 'label' ) at: 'value' } ]. locations := rawData3. locations do: [ :array | map cities addCityNamed: array third location: array second @ array first ]. map cities shape size: 8; color: (Color blue alpha: 0.03). map cities: (locations collect: #third). map scale: 2. map render. map view openInWindowSized: 1000 @ 500. -=-=-=-=-=-=-=-=-=-=-=-=-=-=-= This is what you get: <Screen Shot 2014-03-02 at 9.09.57 PM.png> This is a small example. Naturally, adding popup for locations is trivial to add. I have described this on our Facebook page: https://www.facebook.com/ObjectProfile/photos/a.341189379300999.82969.34054… Super cool!! Thanks for sharing the nice mapping. Hernán, since SPARQL is a bit obscure, Absolutely, SPARQL is like the Assembler of the web. it would be great if you could add some more example, and also, how to parametrize the examples. For example, now we can get data for the US, how to modify your example to get them for France or Chile? Ok, uploaded an updated version. I have parametrized the query triplets as #universitiesIn: englishCountryName, DBPediaSearch universitiesIn: 'France'. DBPediaSearch universitiesIn: 'Chile'. I have to admit I am still learning SPARQL, but the more queries I execute, the more I discover linked data structure, so I will add convenience methods for easy parsing results. Cheers, Hernán _______________________________________________ Moose-dev mailing list Moose-dev(a)iam.unibe.ch https://www.iam.unibe.ch/mailman/listinfo/moose-dev