Re: [Pharo-dev] [Pharo-business] [ANN] DBPedia: Query Wikipedia from Pharo
Iâve 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, Svenâs 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: 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.341189379300999.82969.340543... Hernán, since SPARQL is a bit obscure, 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? Cheers, Alexandre On Mar 2, 2014, at 3:43 PM, Hernán Morales Durand <hernan.morales@gmail.com> wrote:
I have uploaded a new configuration so you can query the english Wikipedia dataset from Pharo 3 using SPARQL. Some examples follow:
1) Retrieve in JSON movies from the beautiful Julianne Moore:
| jsonResults | jsonResults := DBPediaSearch new setJsonFormat; timeout: 5000; query: 'SELECT DISTINCT ?filmName WHERE { ?film foaf:name ?filmName . ?film dbpedia-owl:starring ?actress . ?actress foaf:name ?name. FILTER(contains(?name, "Julianne")) FILTER(contains(?name, "Moore")) }'; execute
To actually get only the titles using NeoJSON:
((((NeoJSONReader fromString: jsonResults) at: #results) at: #bindings) collect: [ : entry | entry at: #filmName ]) collect: [ : movie | movie at: #value ]
2) Retrieve in XML which genre plays those crazy Dream Theater guys :
DBPediaSearch new setXmlFormat; setDebugOn; timeout: 5000; query: 'SELECT DISTINCT ?genreLabel WHERE { ?resource dbpprop:genre ?genre. ?resource rdfs:label "Dream Theater"@en. ?genre rdfs:label ?genreLabel FILTER (lang(?genreLabel)="en") } LIMIT 100'; execute
More examples are available in DBPediaSearch class side. You can install it from the Configuration Browser. If you want to contribute, just ask me and you will be added as contributor. Best regards,
Hernán
_______________________________________________ Pharo-business mailing list Pharo-business@lists.pharo.org http://lists.pharo.org/mailman/listinfo/pharo-business_lists.pharo.org
-- _,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;: Alexandre Bergel http://www.bergel.eu ^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
A followup from the previous post. Fetching country population and charting them using GraphET: -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= | query data diagram | query := DBPediaSearch new setJsonFormat; setDebugOn; timeout: 3000; query: 'SELECT DISTINCT ?name ?population WHERE { ?country a dbpedia-owl:Country . ?country rdfs:label ?name . FILTER (langMatches(lang(?name), "en")) values ?hasPopulation { dbpprop:populationEstimatedbpprop:populationCensus } OPTIONAL { ?country ?hasPopulation ?population } FILTER (isNumeric(?population)) FILTER NOT EXISTS { ?country dbpedia-owl:dissolutionYear ?yearEnd } { ?country dbpprop:iso3166code ?code . } UNION { ?country dbpprop:iso31661Alpha ?code . } UNION { ?country dbpprop:countryCode ?code . } UNION { ?country a yago:MemberStatesOfTheUnitedNations . }}'; execute. data := (((NeoJSONReader fromString: query) at:#results) at: #bindings) collect: [ :entry | Array with: ( (entry at: #name) at: #value ) with: ( (entry at: #population) at: #value ) asInteger ]. "Use GraphET to render all this" diagram := GETDiagramBuilder new. diagram verticalBarDiagram models: (data reverseSortedAs: #second); y: #second; regularAxisAsInteger; titleLabel: 'Size of countries'; yAxisLabel: 'Population'. diagram interaction popupText. diagram open -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= Cheers, Alexandre On Mar 2, 2014, at 9:22 PM, Alexandre Bergel <alexandre.bergel@me.com> wrote:
Iâve 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, Svenâs 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.341189379300999.82969.340543...
Hernán, since SPARQL is a bit obscure, 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?
Cheers, Alexandre
On Mar 2, 2014, at 3:43 PM, Hernán Morales Durand <hernan.morales@gmail.com> wrote:
I have uploaded a new configuration so you can query the english Wikipedia dataset from Pharo 3 using SPARQL. Some examples follow:
1) Retrieve in JSON movies from the beautiful Julianne Moore:
| jsonResults | jsonResults := DBPediaSearch new setJsonFormat; timeout: 5000; query: 'SELECT DISTINCT ?filmName WHERE { ?film foaf:name ?filmName . ?film dbpedia-owl:starring ?actress . ?actress foaf:name ?name. FILTER(contains(?name, "Julianne")) FILTER(contains(?name, "Moore")) }'; execute
To actually get only the titles using NeoJSON:
((((NeoJSONReader fromString: jsonResults) at: #results) at: #bindings) collect: [ : entry | entry at: #filmName ]) collect: [ : movie | movie at: #value ]
2) Retrieve in XML which genre plays those crazy Dream Theater guys :
DBPediaSearch new setXmlFormat; setDebugOn; timeout: 5000; query: 'SELECT DISTINCT ?genreLabel WHERE { ?resource dbpprop:genre ?genre. ?resource rdfs:label "Dream Theater"@en. ?genre rdfs:label ?genreLabel FILTER (lang(?genreLabel)="en") } LIMIT 100'; execute
More examples are available in DBPediaSearch class side. You can install it from the Configuration Browser. If you want to contribute, just ask me and you will be added as contributor. Best regards,
Hernán
_______________________________________________ Pharo-business mailing list Pharo-business@lists.pharo.org http://lists.pharo.org/mailman/listinfo/pharo-business_lists.pharo.org
-- _,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;: Alexandre Bergel http://www.bergel.eu ^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
-- _,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;: Alexandre Bergel http://www.bergel.eu ^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
Excellent, Alex! That is exactly what we need to do for Moose and Roassal. Are you using the GTInspector for developing this? :) Doru On Mon, Mar 3, 2014 at 1:33 AM, Alexandre Bergel <alexandre.bergel@me.com>wrote:
A followup from the previous post. Fetching country population and charting them using GraphET:
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= | query data diagram |
query := DBPediaSearch new setJsonFormat; setDebugOn; timeout: 3000; query: 'SELECT DISTINCT ?name ?population WHERE { ?country a dbpedia-owl:Country . ?country rdfs:label ?name . FILTER (langMatches(lang(?name), "en")) values ?hasPopulation { dbpprop:populationEstimatedbpprop:populationCensus } OPTIONAL { ?country ?hasPopulation ?population } FILTER (isNumeric(?population)) FILTER NOT EXISTS { ?country dbpedia-owl:dissolutionYear ?yearEnd } { ?country dbpprop:iso3166code ?code . } UNION { ?country dbpprop:iso31661Alpha ?code . } UNION { ?country dbpprop:countryCode ?code . } UNION { ?country a yago:MemberStatesOfTheUnitedNations . }}'; execute.
data := (((NeoJSONReader fromString: query) at:#results) at: #bindings) collect: [ :entry | Array with: ( (entry at: #name) at: #value ) with: ( (entry at: #population) at: #value ) asInteger ].
"Use GraphET to render all this" diagram := GETDiagramBuilder new. diagram verticalBarDiagram models: (data reverseSortedAs: #second); y: #second; regularAxisAsInteger; titleLabel: 'Size of countries'; yAxisLabel: 'Population'. diagram interaction popupText.
diagram open -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
Cheers, Alexandre
On Mar 2, 2014, at 9:22 PM, Alexandre Bergel <alexandre.bergel@me.com> wrote:
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.341189379300999.82969.340543... type=1&theater
Hernán, since SPARQL is a bit obscure, 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?
Cheers, Alexandre
On Mar 2, 2014, at 3:43 PM, Hernán Morales Durand < hernan.morales@gmail.com> wrote:
I have uploaded a new configuration so you can query the english Wikipedia dataset from Pharo 3 using SPARQL. Some examples follow:
1) Retrieve in JSON movies from the beautiful Julianne Moore:
| jsonResults | jsonResults := DBPediaSearch new setJsonFormat; timeout: 5000; query: 'SELECT DISTINCT ?filmName WHERE { ?film foaf:name ?filmName . ?film dbpedia-owl:starring ?actress . ?actress foaf:name ?name. FILTER(contains(?name, "Julianne")) FILTER(contains(?name, "Moore")) }'; execute
To actually get only the titles using NeoJSON:
((((NeoJSONReader fromString: jsonResults) at: #results) at: #bindings) collect: [ : entry | entry at: #filmName ]) collect: [ : movie | movie at: #value ]
2) Retrieve in XML which genre plays those crazy Dream Theater guys :
DBPediaSearch new setXmlFormat; setDebugOn; timeout: 5000; query: 'SELECT DISTINCT ?genreLabel WHERE { ?resource dbpprop:genre ?genre. ?resource rdfs:label "Dream Theater"@en. ?genre rdfs:label ?genreLabel FILTER (lang(?genreLabel)="en") } LIMIT 100'; execute
More examples are available in DBPediaSearch class side. You can install it from the Configuration Browser. If you want to contribute, just ask me and you will be added as contributor. Best regards,
Hernán
_______________________________________________ Pharo-business mailing list Pharo-business@lists.pharo.org http://lists.pharo.org/mailman/listinfo/pharo-business_lists.pharo.org
-- _,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;: Alexandre Bergel http://www.bergel.eu ^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
-- _,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;: Alexandre Bergel http://www.bergel.eu ^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
-- www.tudorgirba.com "Every thing has its own flow"
Excellent, Alex!
That is exactly what we need to do for Moose and Roassal. Are you using the GTInspector for developing this? :)
I could not have done what I did without the GTInspector. Switching between different representations and navigating in the graph of objects is absolutely vital. Alexandre
On Mon, Mar 3, 2014 at 1:33 AM, Alexandre Bergel <alexandre.bergel@me.com> wrote: A followup from the previous post. Fetching country population and charting them using GraphET:
-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= | query data diagram |
query := DBPediaSearch new setJsonFormat; setDebugOn; timeout: 3000; query: 'SELECT DISTINCT ?name ?population WHERE { ?country a dbpedia-owl:Country . ?country rdfs:label ?name . FILTER (langMatches(lang(?name), "en")) values ?hasPopulation { dbpprop:populationEstimatedbpprop:populationCensus } OPTIONAL { ?country ?hasPopulation ?population } FILTER (isNumeric(?population)) FILTER NOT EXISTS { ?country dbpedia-owl:dissolutionYear ?yearEnd } { ?country dbpprop:iso3166code ?code . } UNION { ?country dbpprop:iso31661Alpha ?code . } UNION { ?country dbpprop:countryCode ?code . } UNION { ?country a yago:MemberStatesOfTheUnitedNations . }}'; execute.
data := (((NeoJSONReader fromString: query) at:#results) at: #bindings) collect: [ :entry | Array with: ( (entry at: #name) at: #value ) with: ( (entry at: #population) at: #value ) asInteger ].
"Use GraphET to render all this" diagram := GETDiagramBuilder new. diagram verticalBarDiagram models: (data reverseSortedAs: #second); y: #second; regularAxisAsInteger; titleLabel: 'Size of countries'; yAxisLabel: 'Population'. diagram interaction popupText.
diagram open -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= <Screen Shot 2014-03-02 at 9.30.58 PM.png>
Cheers, Alexandre
On Mar 2, 2014, at 9:22 PM, Alexandre Bergel <alexandre.bergel@me.com> wrote:
Iâve 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, Svenâs 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.341189379300999.82969.340543...
Hernán, since SPARQL is a bit obscure, 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?
Cheers, Alexandre
On Mar 2, 2014, at 3:43 PM, Hernán Morales Durand <hernan.morales@gmail.com> wrote:
I have uploaded a new configuration so you can query the english Wikipedia dataset from Pharo 3 using SPARQL. Some examples follow:
1) Retrieve in JSON movies from the beautiful Julianne Moore:
| jsonResults | jsonResults := DBPediaSearch new setJsonFormat; timeout: 5000; query: 'SELECT DISTINCT ?filmName WHERE { ?film foaf:name ?filmName . ?film dbpedia-owl:starring ?actress . ?actress foaf:name ?name. FILTER(contains(?name, "Julianne")) FILTER(contains(?name, "Moore")) }'; execute
To actually get only the titles using NeoJSON:
((((NeoJSONReader fromString: jsonResults) at: #results) at: #bindings) collect: [ : entry | entry at: #filmName ]) collect: [ : movie | movie at: #value ]
2) Retrieve in XML which genre plays those crazy Dream Theater guys :
DBPediaSearch new setXmlFormat; setDebugOn; timeout: 5000; query: 'SELECT DISTINCT ?genreLabel WHERE { ?resource dbpprop:genre ?genre. ?resource rdfs:label "Dream Theater"@en. ?genre rdfs:label ?genreLabel FILTER (lang(?genreLabel)="en") } LIMIT 100'; execute
More examples are available in DBPediaSearch class side. You can install it from the Configuration Browser. If you want to contribute, just ask me and you will be added as contributor. Best regards,
Hernán
_______________________________________________ Pharo-business mailing list Pharo-business@lists.pharo.org http://lists.pharo.org/mailman/listinfo/pharo-business_lists.pharo.org
-- _,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;: Alexandre Bergel http://www.bergel.eu ^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
-- _,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;: Alexandre Bergel http://www.bergel.eu ^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
-- www.tudorgirba.com
"Every thing has its own flow"
-- _,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;: Alexandre Bergel http://www.bergel.eu ^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
2014-03-02 21:22 GMT-03:00 Alexandre Bergel <alexandre.bergel@me.com>:
Iâve 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, Svenâs 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:
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.341189379300999.82969.340543...
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
What would be nice is to have an abstraction like mongoTalk on top to avoid to manipulate strings but to manipulate query elements. Stef
2014-03-02 21:22 GMT-03:00 Alexandre Bergel <alexandre.bergel@me.com>: Iâve 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, Svenâs 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.341189379300999.82969.340543...
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@iam.unibe.ch https://www.iam.unibe.ch/mailman/listinfo/moose-dev
+1 Doru On Mon, Mar 3, 2014 at 7:30 AM, Pharo4Stef <pharo4Stef@free.fr> wrote:
What would be nice is to have an abstraction like mongoTalk on top to avoid to manipulate strings but to manipulate query elements.
Stef
2014-03-02 21:22 GMT-03:00 Alexandre Bergel <alexandre.bergel@me.com>:
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.341189379300999.82969.340543...
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@iam.unibe.ch https://www.iam.unibe.ch/mailman/listinfo/moose-dev
-- www.tudorgirba.com "Every thing has its own flow"
What would be nice is to have an abstraction like mongoTalk on top to avoid to manipulate strings but to manipulate query elements.
That is a nice idea. Alexandre
2014-03-02 21:22 GMT-03:00 Alexandre Bergel <alexandre.bergel@me.com>: Iâve 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, Svenâs 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.341189379300999.82969.340543...
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@iam.unibe.ch https://www.iam.unibe.ch/mailman/listinfo/moose-dev
_______________________________________________ Moose-dev mailing list Moose-dev@iam.unibe.ch https://www.iam.unibe.ch/mailman/listinfo/moose-dev
-- _,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;: Alexandre Bergel http://www.bergel.eu ^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
+1 to that! It would be good to have some kind of uniform syntax for constructing queries. Especially now that the use of JSON objects is quite common. The OP was actually referring to MongoQueries. To get some examples of the syntax see section 4 of https://ci.inria.fr/pharo-contribution/job/PharoForTheEnterprise/lastSuccess... On Mar 3, 2014, at 10:13 AM, Alexandre Bergel <alexandre.bergel@me.com> wrote:
What would be nice is to have an abstraction like mongoTalk on top to avoid to manipulate strings but to manipulate query elements.
That is a nice idea.
Alexandre
---> Save our in-boxes! http://emailcharter.org <--- Johan Fabry - http://pleiad.cl/~jfabry PLEIAD lab - Computer Science Department (DCC) - University of Chile
Am 03.03.2014 um 14:22 schrieb Johan Fabry <jfabry@dcc.uchile.cl>:
+1 to that! It would be good to have some kind of uniform syntax for constructing queries. Especially now that the use of JSON objects is quite common.
I would like to have that, too. I need to have query support for elasticsearch and I would do something similar like MongoQueries. The idea of having a common query syntax is nice but Iâm not convinced it will be easy to do. The parser needs to be easily extendable because most applications will have their custom additions to the base syntax. Norbert
The OP was actually referring to MongoQueries. To get some examples of the syntax see section 4 of https://ci.inria.fr/pharo-contribution/job/PharoForTheEnterprise/lastSuccess...
On Mar 3, 2014, at 10:13 AM, Alexandre Bergel <alexandre.bergel@me.com> wrote:
What would be nice is to have an abstraction like mongoTalk on top to avoid to manipulate strings but to manipulate query elements.
That is a nice idea.
Alexandre
---> Save our in-boxes! http://emailcharter.org <---
Johan Fabry - http://pleiad.cl/~jfabry PLEIAD lab - Computer Science Department (DCC) - University of Chile
Just avoiding to only manipulate strings would be already good. On 09 Mar 2014, at 11:22, Norbert Hartl <norbert@hartl.name> wrote:
Am 03.03.2014 um 14:22 schrieb Johan Fabry <jfabry@dcc.uchile.cl>:
+1 to that! It would be good to have some kind of uniform syntax for constructing queries. Especially now that the use of JSON objects is quite common.
I would like to have that, too. I need to have query support for elasticsearch and I would do something similar like MongoQueries. The idea of having a common query syntax is nice but Iâm not convinced it will be easy to do. The parser needs to be easily extendable because most applications will have their custom additions to the base syntax.
Norbert
The OP was actually referring to MongoQueries. To get some examples of the syntax see section 4 of https://ci.inria.fr/pharo-contribution/job/PharoForTheEnterprise/lastSuccess...
On Mar 3, 2014, at 10:13 AM, Alexandre Bergel <alexandre.bergel@me.com> wrote:
What would be nice is to have an abstraction like mongoTalk on top to avoid to manipulate strings but to manipulate query elements.
That is a nice idea.
Alexandre
---> Save our in-boxes! http://emailcharter.org <---
Johan Fabry - http://pleiad.cl/~jfabry PLEIAD lab - Computer Science Department (DCC) - University of Chile
Excellent Hernán! There are more Universities and Colleges in France than in Spain or Italy. -=-=-=-=-=-=-=-=-=-= | map locations rawData rawData2 rawData3 | map := RTMapBuilder new. map countries: #('France' 'Spain' 'Italy'). map color: Color veryVeryLightGray. rawData := DBPediaSearch universitiesIn: 'France'. 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). rawData := DBPediaSearch universitiesIn: 'Italy'. 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). rawData := DBPediaSearch universitiesIn: 'Spain'. 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: 5. map render. map view openInWindowSized: 1000 @ 500. -=-=-=-=-=-=-=-=-=-= On Mar 3, 2014, at 2:43 AM, Hernán Morales Durand <hernan.morales@gmail.com> wrote:
2014-03-02 21:22 GMT-03:00 Alexandre Bergel <alexandre.bergel@me.com>: Iâve 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, Svenâs 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.341189379300999.82969.340543...
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@iam.unibe.ch https://www.iam.unibe.ch/mailman/listinfo/moose-dev
-- _,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;: Alexandre Bergel http://www.bergel.eu ^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
Great Job Hernan & Alex ! When I try the following script, I don't get the same result than you. I'm using the last Pharo 3.0 image. [image: Inline image 1] On Mon, Mar 3, 2014 at 2:14 PM, Alexandre Bergel <alexandre.bergel@me.com>wrote:
Excellent Hernán!
There are more Universities and Colleges in France than in Spain or Italy.
-=-=-=-=-=-=-=-=-=-= | map locations rawData rawData2 rawData3 | map := RTMapBuilder new.
map countries: #('France' 'Spain' 'Italy'). map color: Color veryVeryLightGray.
rawData := DBPediaSearch universitiesIn: 'France'.
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).
rawData := DBPediaSearch universitiesIn: 'Italy'.
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).
rawData := DBPediaSearch universitiesIn: 'Spain'.
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: 5.
map render. map view openInWindowSized: 1000 @ 500. -=-=-=-=-=-=-=-=-=-=
On Mar 3, 2014, at 2:43 AM, Hernán Morales Durand < hernan.morales@gmail.com> wrote:
2014-03-02 21:22 GMT-03:00 Alexandre Bergel <alexandre.bergel@me.com>: 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.341189379300999.82969.340543...
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@iam.unibe.ch https://www.iam.unibe.ch/mailman/listinfo/moose-dev
-- _,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;: Alexandre Bergel http://www.bergel.eu ^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
-- Serge Stinckwich UCBN & UMI UMMISCO 209 (IRD/UPMC) Every DSL ends up being Smalltalk http://www.doesnotunderstand.org/
Great Job Hernan & Alex !
When I try the following script, I don't get the same result than you. I'm using the last Pharo 3.0 image.
I had to slightly modify MapBuilder. Simply update Roassal2 and it should work. Cheers, Alexandre
<Screen Shot 2014-03-03 at 14.25.38.png>
On Mon, Mar 3, 2014 at 2:14 PM, Alexandre Bergel <alexandre.bergel@me.com> wrote: Excellent Hernán!
There are more Universities and Colleges in France than in Spain or Italy.
<Screen Shot 2014-03-03 at 10.14.03 AM.png>
-=-=-=-=-=-=-=-=-=-= | map locations rawData rawData2 rawData3 | map := RTMapBuilder new.
map countries: #('France' 'Spain' 'Italy'). map color: Color veryVeryLightGray.
rawData := DBPediaSearch universitiesIn: 'France'.
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).
rawData := DBPediaSearch universitiesIn: 'Italy'.
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).
rawData := DBPediaSearch universitiesIn: 'Spain'.
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: 5.
map render. map view openInWindowSized: 1000 @ 500. -=-=-=-=-=-=-=-=-=-=
On Mar 3, 2014, at 2:43 AM, Hernán Morales Durand <hernan.morales@gmail.com> wrote:
2014-03-02 21:22 GMT-03:00 Alexandre Bergel <alexandre.bergel@me.com>: Iâve 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, Svenâs 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.341189379300999.82969.340543...
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
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-- _,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;: Alexandre Bergel http://www.bergel.eu ^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
-- Serge Stinckwich UCBN & UMI UMMISCO 209 (IRD/UPMC) Every DSL ends up being Smalltalk http://www.doesnotunderstand.org/
-- _,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;: Alexandre Bergel http://www.bergel.eu ^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
Alexandre so cool Noa may be taking the idea of ROE (to manipulate queries) and creating a ROE for SPARQL should be investigated. Is your student good. I do not remember how roe is implemented. Stef\ On 03 Mar 2014, at 01:22, Alexandre Bergel <alexandre.bergel@me.com> wrote:
Iâve 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, Svenâs 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.341189379300999.82969.340543...
Hernán, since SPARQL is a bit obscure, 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?
Cheers, Alexandre
On Mar 2, 2014, at 3:43 PM, Hernán Morales Durand <hernan.morales@gmail.com> wrote:
I have uploaded a new configuration so you can query the english Wikipedia dataset from Pharo 3 using SPARQL. Some examples follow:
1) Retrieve in JSON movies from the beautiful Julianne Moore:
| jsonResults | jsonResults := DBPediaSearch new setJsonFormat; timeout: 5000; query: 'SELECT DISTINCT ?filmName WHERE { ?film foaf:name ?filmName . ?film dbpedia-owl:starring ?actress . ?actress foaf:name ?name. FILTER(contains(?name, "Julianne")) FILTER(contains(?name, "Moore")) }'; execute
To actually get only the titles using NeoJSON:
((((NeoJSONReader fromString: jsonResults) at: #results) at: #bindings) collect: [ : entry | entry at: #filmName ]) collect: [ : movie | movie at: #value ]
2) Retrieve in XML which genre plays those crazy Dream Theater guys :
DBPediaSearch new setXmlFormat; setDebugOn; timeout: 5000; query: 'SELECT DISTINCT ?genreLabel WHERE { ?resource dbpprop:genre ?genre. ?resource rdfs:label "Dream Theater"@en. ?genre rdfs:label ?genreLabel FILTER (lang(?genreLabel)="en") } LIMIT 100'; execute
More examples are available in DBPediaSearch class side. You can install it from the Configuration Browser. If you want to contribute, just ask me and you will be added as contributor. Best regards,
Hernán
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-- _,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;: Alexandre Bergel http://www.bergel.eu ^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
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participants (7)
-
Alexandre Bergel -
Hernán Morales Durand -
Johan Fabry -
Norbert Hartl -
Pharo4Stef -
Serge Stinckwich -
Tudor Girba