Smart Open Data Kickoff - Madrid - Linked

http://spaziodati.eu/martedì 7 gennaio 14

http://spaziodati.eu

http://spaziodati.eu

Founded in 2012

martedì 7 gennaio 14

Mission

Make open and private data easy to (re)use

for SMEs, developers, consultants, professionals


-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


open data private data user generated datasolution

http://dandelion.eu/martedì 7 gennaio 14

http://dandelion.eu

http://dandelion.eu

solution

Dandelion’s knowledge graph

USERS (developers)

SQL-like REST API (hides the graph) Semantic Text Analysis APIs












simple?


(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...martedì 7 gennaio 14

It took me half an hour to write a query on DBpedia!!!

Italian architects born in village on the mountains (>600 ) between 1400 and 1500http://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

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) .}


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














http://it.dbpedia.org/sparql?default-graph-uri=&query=PREFIX%2520dbo%253A%2520%253Chttp%253A%252F%252Fdbpedia.org%252Fontology%252F%253E%250Aselect%2520distinct%2520%253Fperson%252C%2520%253Fname%252C%2520%253Fbirth%252C%2520%253Fatt%252C%2520%253Fplace%2520where%2520%257B%250A%253Fperson%2520dbo%253AbirthPlace%2520%253Fplace.%250A%253Fperson%2520%253Chttp%253A%252F%252Fdbpedia.org%252Fontology%252FbirthYear%253E%2520%253Fbirth%2520.%250A%253Fperson%2520foaf%253Aname%2520%253Fname%2520.%250A%253Fperson%2520%253Chttp%253A%252F%252Fit.dbpedia.org%252Fproperty%252Fattivit%25C3%25A0%253E%2520%2522architetto%2522%2540it%2520.%250A%253Fperson%2520%253Chttp%253A%252F%252Fit.dbpedia.org%252Fproperty%252Fattivit%25C3%25A0%253E%2520%253Fatt%2520.%250A%253Fplace%2520%253Fpopulation%2520%253Fpop.%250A%253Fplace%2520dbo%253Aelevation%2520%253Fele.%250A%250AFILTER%2520(%253Fbirth%2520%253C%2520%25221900-01-01%2522%255E%255Exsd%253Adate)%2520.%250AFilter%2520(%253Fpopulation%2520in%2520(%253Chttp%253A%252F%252Fit.dbpedia.org%252Fproperty%252Fabitanti%253E%252C%250A%253Chttp%253A%252F%252Fdbpedia.org%252Fontology%252FpopulationTotal%253E%2520))%2520.%250AFilter%2520(xsd%253Aint(%253Fpop)%2520%253E2000%2520)%2520.%250AFilter%2520(xsd%253Aint(%253Fpop)%2520%253C5000%2520)%2520.%250AFilter%2520(xsd%253Aint(%253Fele)%2520%253E600%2520)%2520.%250AFILTER%2520(%253Fbirth%2520%253E%2520%25221400-01-01%2522%255E%255Exsd%253Adate)%2520.%250AFILTER%2520(%253Fbirth%2520%253C%2520%25221500-01-01%2522%255E%255Exsd%253Adate)%2520.%250A%257D&format=text%252Fhtml&debug=on

http://it.dbpedia.org/sparql?default-graph-uri=&query=PREFIX%2520dbo%253A%2520%253Chttp%253A%252F%252Fdbpedia.org%252Fontology%252F%253E%250Aselect%2520distinct%2520%253Fperson%252C%2520%253Fname%252C%2520%253Fbirth%252C%2520%253Fatt%252C%2520%253Fplace%2520where%2520%257B%250A%253Fperson%2520dbo%253AbirthPlace%2520%253Fplace.%250A%253Fperson%2520%253Chttp%253A%252F%252Fdbpedia.org%252Fontology%252FbirthYear%253E%2520%253Fbirth%2520.%250A%253Fperson%2520foaf%253Aname%2520%253Fname%2520.%250A%253Fperson%2520%253Chttp%253A%252F%252Fit.dbpedia.org%252Fproperty%252Fattivit%25C3%25A0%253E%2520%2522architetto%2522%2540it%2520.%250A%253Fperson%2520%253Chttp%253A%252F%252Fit.dbpedia.org%252Fproperty%252Fattivit%25C3%25A0%253E%2520%253Fatt%2520.%250A%253Fplace%2520%253Fpopulation%2520%253Fpop.%250A%253Fplace%2520dbo%253Aelevation%2520%253Fele.%250A%250AFILTER%2520(%253Fbirth%2520%253C%2520%25221900-01-01%2522%255E%255Exsd%253Adate)%2520.%250AFilter%2520(%253Fpopulation%2520in%2520(%253Chttp%253A%252F%252Fit.dbpedia.org%252Fproperty%252Fabitanti%253E%252C%250A%253Chttp%253A%252F%252Fdbpedia.org%252Fontology%252FpopulationTotal%253E%2520))%2520.%250AFilter%2520(xsd%253Aint(%253Fpop)%2520%253E2000%2520)%2520.%250AFilter%2520(xsd%253Aint(%253Fpop)%2520%253C5000%2520)%2520.%250AFilter%2520(xsd%253Aint(%253Fele)%2520%253E600%2520)%2520.%250AFILTER%2520(%253Fbirth%2520%253E%2520%25221400-01-01%2522%255E%255Exsd%253Adate)%2520.%250AFILTER%2520(%253Fbirth%2520%253C%2520%25221500-01-01%2522%255E%255Exsd%253Adate)%2520.%250A%257D&format=text%252Fhtml&debug=on

http://dbpedia.org/ontology/

http://dbpedia.org/ontology/

http://dbpedia.org/ontology/birthYear

http://dbpedia.org/ontology/birthYear

http://it.dbpedia.org/property/attivit




http://it.dbpedia.org/property/abitanti

http://it.dbpedia.org/property/abitanti

http://dbpedia.org/ontology/populationTotal

http://dbpedia.org/ontology/populationTotal

not so simple...


Simplicity is the ultimate sophistication““

Leonardo Da Vinci


WP3Data harmonization

WP5Italian Pilot with ARPA Sicilia

Support to WP2 (arch.), 6 (eval.), 7 (exp.)martedì 7 gennaio 14

WP3T3.2 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


WP5

Italian Pilot

- Deploy white-label data market- ETL processes- User engagement & hackaton



Technology

Smart Open Data Kickoff - Madrid - Linked