3 Mar
2014
3 Mar
'14
1:22 a.m.
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:
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…
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(a)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(a)lists.pharo.org
http://lists.pharo.org/mailman/listinfo/pharo-business_lists.pharo.org
--
_,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:
Alexandre Bergel http://www.bergel.eu
^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
3 Mar
3 Mar
1:33 a.m.
New subject: [Pharo-business] [ANN] DBPedia: Query Wikipedia from Pharo
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(a)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.341189379300999.82969.34054…
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(a)gmail.com>
wrote:
--
_,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:
Alexandre Bergel http://www.bergel.eu
^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
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(a)lists.pharo.org
http://lists.pharo.org/mailman/listinfo/pharo-business_lists.pharo.org
--
_,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:
Alexandre Bergel http://www.bergel.eu
^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
7:32 a.m.
New subject: [Pharo-dev] [Pharo-business] [ANN] DBPedia: Query Wikipedia from Pharo
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(a)me.com>wrote;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(a)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.341189379300999.82969.34054…
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(a)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(a)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"
1:56 p.m.
New subject: [Pharo-dev] [Pharo-business] [ANN] DBPedia: Query Wikipedia from Pharo
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(a)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(a)me.com> wrote:
--
_,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:
Alexandre Bergel http://www.bergel.eu
^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
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…
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(a)gmail.com>
wrote:
--
_,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:
Alexandre Bergel http://www.bergel.eu
^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
--
www.tudorgirba.com
"Every thing has its own flow" 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(a)lists.pharo.org
http://lists.pharo.org/mailman/listinfo/pharo-business_lists.pharo.org
--
_,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:
Alexandre Bergel http://www.bergel.eu
^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
6:43 a.m.
New subject: [Pharo-business] [ANN] DBPedia: Query Wikipedia from Pharo
2014-03-02 21:22 GMT-03:00 Alexandre Bergel <alexandre.bergel(a)me.com>om>:
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
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:
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,
7:30 a.m.
New subject: [Pharo-business] [ANN] DBPedia: Query Wikipedia from Pharo
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(a)me.com>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
2:13 p.m.
New subject: [Pharo-business] [ANN] DBPedia: Query Wikipedia from Pharo
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(a)me.com>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
_______________________________________________
Moose-dev mailing list
Moose-dev(a)iam.unibe.ch
https://www.iam.unibe.ch/mailman/listinfo/moose-dev 
2:22 p.m.
New subject: [Pharo-business] [ANN] DBPedia: Query Wikipedia from Pharo
+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/lastSucces…
On Mar 3, 2014, at 10:13 AM, Alexandre Bergel <alexandre.bergel(a)me.com> wrote:
---> Save our in-boxes! http://emailcharter.org <---
Johan Fabry - http://pleiad.cl/~jfabry
PLEIAD lab - Computer Science Department (DCC) - University of Chile
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 
9 Mar
9 Mar
11:22 a.m.
New subject: [Pharo-dev] [Pharo-business] [ANN] DBPedia: Query Wikipedia from Pharo
Am 03.03.2014 um 14:22 schrieb Johan Fabry <jfabry(a)dcc.uchile.cl>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 I’m 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/lastSucces…
On Mar 3, 2014, at 10:13 AM, Alexandre Bergel <alexandre.bergel(a)me.com> wrote:
---> Save our in-boxes! http://emailcharter.org <---
Johan Fabry - http://pleiad.cl/~jfabry
PLEIAD lab - Computer Science Department (DCC) - University of Chile
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
7:11 p.m.
New subject: [Pharo-dev] [Pharo-business] [ANN] DBPedia: Query Wikipedia from Pharo
Just avoiding to only manipulate strings would be already good.
On 09 Mar 2014, at 11:22, Norbert Hartl <norbert(a)hartl.name> wrote:
Am 03.03.2014 um 14:22 schrieb Johan Fabry <jfabry(a)dcc.uchile.cl>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 I’m 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/lastSucces…
On Mar 3, 2014, at 10:13 AM, Alexandre Bergel <alexandre.bergel(a)me.com> wrote:
---> Save our in-boxes! http://emailcharter.org <---
Johan Fabry - http://pleiad.cl/~jfabry
PLEIAD lab - Computer Science Department (DCC) - University of Chile
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
3 Mar
3 Mar
2:14 p.m.
New subject: [Pharo-business] [ANN] DBPedia: Query Wikipedia from Pharo
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(a)gmail.com> wrote:
2014-03-02 21:22 GMT-03:00 Alexandre Bergel <alexandre.bergel(a)me.com>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
--
_,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:
Alexandre Bergel http://www.bergel.eu
^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
2:27 p.m.
New subject: [Pharo-dev] [Pharo-business] [ANN] DBPedia: Query Wikipedia from Pharo
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(a)me.com>wrote;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(a)gmail.com> wrote:
2014-03-02 21:22 GMT-03:00 Alexandre Bergel <alexandre.bergel(a)me.com>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
--
_,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:
Alexandre Bergel http://www.bergel.eu
^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
--
Serge Stinckwich
UCBN & UMI UMMISCO 209 (IRD/UPMC)
Every DSL ends up being Smalltalk
http://www.doesnotunderstand.org/
2:40 p.m.
New subject: [Pharo-dev] [Pharo-business] [ANN] DBPedia: Query Wikipedia from Pharo
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(a)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(a)gmail.com>
wrote:
--
_,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:
Alexandre Bergel http://www.bergel.eu
^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
2014-03-02 21:22 GMT-03:00 Alexandre Bergel <alexandre.bergel(a)me.com>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
--
_,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:
Alexandre Bergel http://www.bergel.eu
^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
--
Serge Stinckwich
UCBN & UMI UMMISCO 209 (IRD/UPMC)
Every DSL ends up being Smalltalk
http://www.doesnotunderstand.org/
7:33 a.m.
New subject: [Pharo-business] [ANN] DBPedia: Query Wikipedia from Pharo
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(a)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.341189379300999.82969.34054…
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(a)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(a)lists.pharo.org
http://lists.pharo.org/mailman/listinfo/pharo-business_lists.pharo.org
--
_,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:
Alexandre Bergel http://www.bergel.eu
^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
_______________________________________________
Moose-dev mailing list
Moose-dev(a)iam.unibe.ch
https://www.iam.unibe.ch/mailman/listinfo/moose-dev
3699
days inactive
3705
days old
13 comments
7 participants
participants (7)
-
Alexandre Bergel -
Hernán Morales Durand -
Johan Fabry -
Norbert Hartl -
Pharo4Stef -
Serge Stinckwich -
Tudor Girba