Kick-off meeting in Madrid, on December 2013. Our pilot is related to water monitoring: for reference http://www.smartopendata.eu/pilots/italian-pilot

1. http://spaziodati.eu/
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2. Founded in 2012
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3. Mission
Make open and private data easy to (re)use
for SMEs, developers, consultants, professionals
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4. -We
aggregate data from several sources (open and private)
-We
clean, harmonize, enrich and link it
-We
make it available to developers via easy to use REST APIs
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5. solution
open data
private data
user generated data
http://dandelion.eu/
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6. solution
Dandelion’s knowledge graph
SQL-like REST API (hides the graph)
Semantic Text Analysis APIs
USERS (developers)
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17. simple?
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18. (not so) easy to use !
+
-
I work on Semantic Web since 2003
I’m certainly not that smart
I transformed, modelled, published hundreds
of datasets in many domains
It’s late night
I wrote some SW tools myself
We maintain the Italian DBpedia
still...
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19. It took me half an hour to write a query on DBpedia!!!
PREFIX dbo: <http://dbpedia.org/ontology/>
select distinct ?person, ?name, ?birth, ?att, ?place where {
?person dbo:birthPlace ?place.
?person <http://dbpedia.org/ontology/birthYear> ?birth .
?person foaf:name ?name .
?person <http://it.dbpedia.org/property/attività> "architetto"@it .
?person <http://it.dbpedia.org/property/attività> ?att .
?place ?population ?pop.
?place dbo:elevation ?ele.
FILTER (?birth < "1900-01-01"^^xsd:date) .
Filter (?population in (<http://it.dbpedia.org/property/abitanti>,
<http://dbpedia.org/ontology/populationTotal> )) .
Filter (xsd:int(?ele) >600 ) .
FILTER (?birth > "1400-01-01"^^xsd:date) .
FILTER (?birth < "1500-01-01"^^xsd:date) .
}
Italian architects born in village on the mountains (>600 )
between 1400 and 1500
http://it.dbpedia.org/sparql?default-graph-uri=&query=PREFIX%20dbo%3A%20%3Chttp%3A%2F%2Fdbpedia.org%2Fontology%2F%3E%0Aselect%20distinct%20%3Fperson%2C%20%3Fname%2C%20%3Fbirth%2C%20%3Fatt%2C
%20%3Fplace%20where%20%7B%0A%3Fperson%20dbo%3AbirthPlace%20%3Fplace.%0A%3Fperson%20%3Chttp%3A%2F%2Fdbpedia.org%2Fontology%2FbirthYear%3E%20%3Fbirth%20.%0A%3Fperson%20foaf%3Aname
%20%3Fname%20.%0A%3Fperson%20%3Chttp%3A%2F%2Fit.dbpedia.org%2Fproperty%2Fattivit%C3%A0%3E%20%22architetto%22%40it%20.%0A%3Fperson%20%3Chttp%3A%2F%2Fit.dbpedia.org%2Fproperty%2Fattivit
%C3%A0%3E%20%3Fatt%20.%0A%3Fplace%20%3Fpopulation%20%3Fpop.%0A%3Fplace%20dbo%3Aelevation%20%3Fele.%0A%0AFILTER%20(%3Fbirth%20%3C%20%221900-01-01%22%5E%5Exsd%3Adate)%20.%0AFilter
%20(%3Fpopulation%20in%20(%3Chttp%3A%2F%2Fit.dbpedia.org%2Fproperty%2Fabitanti%3E%2C%0A%3Chttp%3A%2F%2Fdbpedia.org%2Fontology%2FpopulationTotal%3E%20))%20.%0AFilter%20(xsd%3Aint(%3Fpop)
%20%3E2000%20)%20.%0AFilter%20(xsd%3Aint(%3Fpop)%20%3C5000%20)%20.%0AFilter%20(xsd%3Aint(%3Fele)%20%3E600%20)%20.%0AFILTER%20(%3Fbirth%20%3E%20%221400-01-01%22%5E%5Exsd%3Adate)%20.%0AFILTER
%20(%3Fbirth%20%3C%20%221500-01-01%22%5E%5Exsd%3Adate)%20.%0A%7D&format=text%2Fhtml&debug=on
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20. not so simple...
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Leonardo Da Vinci
“
“
Simplicity is the ultimate sophistication

22. WP3
Data harmonization
WP5
Italian Pilot with ARPA Sicilia
Support to WP2 (arch.), 6 (eval.), 7 (exp.)
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23. WP3
T3.2 Data harmonization, initial iteration (M9)
- Input from T3.2 (W3C): SmartOpenData schema
- Data samples & schemas from pilots
- Mapping based on OpenRefine
T3.5 Data harmonization, final iteration (M18? M9!)
- Input from T3.4 (W3C): SmartOpenData schema v2
- Feedback from pilots
- Focus on scaling OpenRefine mappings
Main risks: essential input activities running in parallel; not getting data
samples & schemas in time
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24. WP5
Italian Pilot
- Deploy white-label data market
- ETL processes
- User engagement & hackaton
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