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agINFRA work on 
germplasm and soil 
Linked Data 
Publishing agricultural databases as RDF 
Luca Matteis1, Valeria Pesce2, Giovanni L’Abate3, Maria Antonietta Polombi3 
1Bioversity International 
Via dei Tre Denari 472/a 
00057 Maccarese (Fiumicino) Rome, Italy 
l.matteis@cgiar.org 
2GFAR - The Global Forum on Agricultural Research c/o FAO, 
Viale delle Terme di Caracalla - 00153, Roma (Italy) 
3Consiglio per la Ricerca e la sperimentazione in Agricoltura 
Centro di ricerca per l’agrobiologia e la pedologia (CRA-ABP) 
Piazza M. D’azeglio, 30 - 50121 Florence (Italy) 
20/09/2014
Motivation – Why Linked Data? 
Data coming from different sources is hard to 
integrate because: 
– Data is published using different formats 
(CSV, Excel, XML, JSON) 
– Data is described using different standards 
(vocabularies, ontologies, taxonomies) 
– Data is not linked together 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
Motivation – Why Linked Data? 
Data coming from different sources is hard to 
integrate because: 
– Data is published using different formats 
(CSV, Excel, XML, JSON) 
– Data is described using different standards 
(vocabularies, ontologies, taxonomies) 
– Data is not linked together 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
Motivation – Why Linked Data? 
Data coming from different sources is hard to 
integrate because: 
– Data is published using different formats 
(CSV, Excel, XML, JSON) 
– Data is described using different standards 
(vocabularies, ontologies, taxonomies) 
– Data is not linked together 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
Motivation – Why Linked Data? 
Data coming from different sources is hard to 
integrate because: 
– Data is published using different formats 
(CSV, Excel, XML, JSON) 
– Data is described using different standards 
(vocabularies, ontologies, taxonomies) 
– Data is not linked together 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
Motivation – Why Linked Data? 
Linked Data provides the principles that enable 
smarter integration of data: 
– Publish your data as RDF (JSON-LD, Turtle, RDFa, 
etc...) 
– Resources should be identified using resolvable 
HTTP URIs 
– Link your resources to other RDF resources using 
HTTP URIs 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
Motivation – Why Linked Data? 
Linked Data provides the principles that enable 
smarter integration of data: 
– Publish your data as RDF (JSON-LD, Turtle, RDFa, 
etc...) 
– Resources should be identified using resolvable 
HTTP URIs 
– Link your resources to other RDF resources using 
HTTP URIs 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
Motivation – Why Linked Data? 
Linked Data provides the principles that enable 
smarter integration of data: 
– Publish your data as RDF (JSON-LD, Turtle, RDFa, 
etc...) 
– Resources should be identified using resolvable 
HTTP URIs 
– Link your resources to other RDF resources using 
HTTP URIs 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
Motivation – Why Linked Data? 
Linked Data provides the principles that enable 
smarter integration of data: 
– Publish your data as RDF (JSON-LD, Turtle, RDFa, 
etc...) 
– Resources should be identified using resolvable 
HTTP URIs 
– Link your resources to other RDF resources using 
HTTP URIs 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
5 stars Linked Data 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
Data source analysis 
MSAccess 
PostgreSQL SISI 
a) CRA CNCP 
soil data 
MySQL 
PlantaRes 
b) CRA PlantaRes 
germplasm data 
original source 
 intermediate source 
 published data 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
1st Step: RDF Conversion 
MSAccess 
D2RQ 
PostgreSQL SISI 
a) CRA CNCP 
soil data 
original source 
 intermediate source 
 published data 
published linked data 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
D2RQ 
D2RQ automatically converts relational databases into 
RDF. It also publishes the data as Linked Data along 
with a SPARQL endpoint. 
https://aginfra-sg.ct.infn.it/rdf/cncp/
2nd Step: Mapping to RDF Vocabularies 
ID type Latitudine_WGS84 Longitudine_WGS84 ... 
16.4LPhk1-1 observation 42.57 12.93 ... 
becomes... 
{ 
 @id  : http://rdf.entecra.it/soil/ 16.4LPhk1-1 , 
 @type  :  soil:ObservedSoilSite , 
 geo:lat  : 42.57, 
 geo:long  : 12.93, 
... 
} 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
2nd Step: Mapping to RDF Vocabularies 
ID type Latitudine_WGS84 Longitudine_WGS84 ... 
16.4LPhk1-1 observation 42.57 12.93 ... 
becomes... 
{ 
 @id  : http://rdf.entecra.it/soil/ 16.4LPhk1-1 , 
 @type  :  soil:ObservedSoilSite , 
 geo:lat  : 42.57, 
 geo:long  : 12.93, 
... 
} 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
3rd Step: Linking Data 
“42.57” 
geo:lat 
16.4LPhk1-1 
CNCP 
GeoNames 
DBpedia 
“12.93” 
geo:long 
rdfs:seeAlso 
gn:6541462 
gn:locatedIn 
“Rieti” 
gn:name 
dbpedia:Rieti 
46187 
gn:population 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
3rd Step: Linking Data 
“42.57” 
geo:lat 
16.4LPhk1-1 
CNCP 
GeoNames 
DBpedia 
“12.93” 
geo:long 
rdfs:seeAlso 
gn:6541462 
gn:locatedIn 
“Rieti” 
gn:name 
dbpedia:Rieti 
46187 
gn:population 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
3rd Step: Linking Data 
“42.57” 
geo:lat 
16.4LPhk1-1 
CNCP 
GeoNames 
DBpedia 
“12.93” 
geo:long 
rdfs:seeAlso 
gn:6541462 
gn:locatedIn 
“Rieti” 
gn:name 
dbpedia:Rieti 
46187 
gn:population 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
3rd Step: Linking Data 
“42.57” 
geo:lat 
16.4LPhk1-1 
CNCP 
GeoNames 
DBpedia 
“12.93” 
geo:long 
rdfs:seeAlso 
gn:6541462 
gn:locatedIn 
“Rieti” 
gn:name 
dbpedia:Rieti 
46187 
gn:population 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
Apps 
We can now build applications that 
– make queries via SPARQL endpoints 
– crawl data by following links 
– integrate various RDF dumps 
– query data from multiple sources 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
Apps 
We can now build applications that 
– make queries via SPARQL endpoints 
– crawl data by following links 
– integrate various RDF dumps 
– query data from multiple sources 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
Apps 
We can now build applications that 
– make queries via SPARQL endpoints 
– crawl data by following links 
– integrate various RDF dumps 
– query data from multiple sources 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
Apps 
We can now build applications that 
– make queries via SPARQL endpoints 
– crawl data by following links 
– integrate various RDF dumps 
– query data from multiple sources 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
Future work 
– More interlinks between datasets 
– Interlinks with AGROVOC and integration in the 
AGRIS portal 
– Move URIs under the entecra.it domain 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
Future work 
– More interlinks between datasets 
– Interlinks with AGROVOC and integration in the 
AGRIS portal 
– Move URIs under the entecra.it domain 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
Future work 
– More interlinks between datasets 
– Interlinks with AGROVOC and integration in the 
AGRIS portal 
– Move URIs under the entecra.it domain 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
Acknowledgements 
Riccardo Bruno (from INFN) and Gino Barreca (from 
CRA) for the help with configuring the server 
infrastructure. 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
Thank you! 
Linked Open Data for germplasm and soil Luca Matteis 20/09/2014

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agINFRA work on germplasm and soil Linked Data by Luca Matteus, Giovanni L’Abate and Maria Antonietta Polombi

  • 1. agINFRA work on germplasm and soil Linked Data Publishing agricultural databases as RDF Luca Matteis1, Valeria Pesce2, Giovanni L’Abate3, Maria Antonietta Polombi3 1Bioversity International Via dei Tre Denari 472/a 00057 Maccarese (Fiumicino) Rome, Italy l.matteis@cgiar.org 2GFAR - The Global Forum on Agricultural Research c/o FAO, Viale delle Terme di Caracalla - 00153, Roma (Italy) 3Consiglio per la Ricerca e la sperimentazione in Agricoltura Centro di ricerca per l’agrobiologia e la pedologia (CRA-ABP) Piazza M. D’azeglio, 30 - 50121 Florence (Italy) 20/09/2014
  • 2. Motivation – Why Linked Data? Data coming from different sources is hard to integrate because: – Data is published using different formats (CSV, Excel, XML, JSON) – Data is described using different standards (vocabularies, ontologies, taxonomies) – Data is not linked together Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 3. Motivation – Why Linked Data? Data coming from different sources is hard to integrate because: – Data is published using different formats (CSV, Excel, XML, JSON) – Data is described using different standards (vocabularies, ontologies, taxonomies) – Data is not linked together Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 4. Motivation – Why Linked Data? Data coming from different sources is hard to integrate because: – Data is published using different formats (CSV, Excel, XML, JSON) – Data is described using different standards (vocabularies, ontologies, taxonomies) – Data is not linked together Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 5. Motivation – Why Linked Data? Data coming from different sources is hard to integrate because: – Data is published using different formats (CSV, Excel, XML, JSON) – Data is described using different standards (vocabularies, ontologies, taxonomies) – Data is not linked together Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 6. Motivation – Why Linked Data? Linked Data provides the principles that enable smarter integration of data: – Publish your data as RDF (JSON-LD, Turtle, RDFa, etc...) – Resources should be identified using resolvable HTTP URIs – Link your resources to other RDF resources using HTTP URIs Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 7. Motivation – Why Linked Data? Linked Data provides the principles that enable smarter integration of data: – Publish your data as RDF (JSON-LD, Turtle, RDFa, etc...) – Resources should be identified using resolvable HTTP URIs – Link your resources to other RDF resources using HTTP URIs Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 8. Motivation – Why Linked Data? Linked Data provides the principles that enable smarter integration of data: – Publish your data as RDF (JSON-LD, Turtle, RDFa, etc...) – Resources should be identified using resolvable HTTP URIs – Link your resources to other RDF resources using HTTP URIs Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 9. Motivation – Why Linked Data? Linked Data provides the principles that enable smarter integration of data: – Publish your data as RDF (JSON-LD, Turtle, RDFa, etc...) – Resources should be identified using resolvable HTTP URIs – Link your resources to other RDF resources using HTTP URIs Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 10. 5 stars Linked Data Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 11. Data source analysis MSAccess PostgreSQL SISI a) CRA CNCP soil data MySQL PlantaRes b) CRA PlantaRes germplasm data original source intermediate source published data Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 12. 1st Step: RDF Conversion MSAccess D2RQ PostgreSQL SISI a) CRA CNCP soil data original source intermediate source published data published linked data Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 13. D2RQ D2RQ automatically converts relational databases into RDF. It also publishes the data as Linked Data along with a SPARQL endpoint. https://aginfra-sg.ct.infn.it/rdf/cncp/
  • 14. 2nd Step: Mapping to RDF Vocabularies ID type Latitudine_WGS84 Longitudine_WGS84 ... 16.4LPhk1-1 observation 42.57 12.93 ... becomes... { @id : http://rdf.entecra.it/soil/ 16.4LPhk1-1 , @type : soil:ObservedSoilSite , geo:lat : 42.57, geo:long : 12.93, ... } Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 15. 2nd Step: Mapping to RDF Vocabularies ID type Latitudine_WGS84 Longitudine_WGS84 ... 16.4LPhk1-1 observation 42.57 12.93 ... becomes... { @id : http://rdf.entecra.it/soil/ 16.4LPhk1-1 , @type : soil:ObservedSoilSite , geo:lat : 42.57, geo:long : 12.93, ... } Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 16. 3rd Step: Linking Data “42.57” geo:lat 16.4LPhk1-1 CNCP GeoNames DBpedia “12.93” geo:long rdfs:seeAlso gn:6541462 gn:locatedIn “Rieti” gn:name dbpedia:Rieti 46187 gn:population Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 17. 3rd Step: Linking Data “42.57” geo:lat 16.4LPhk1-1 CNCP GeoNames DBpedia “12.93” geo:long rdfs:seeAlso gn:6541462 gn:locatedIn “Rieti” gn:name dbpedia:Rieti 46187 gn:population Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 18. 3rd Step: Linking Data “42.57” geo:lat 16.4LPhk1-1 CNCP GeoNames DBpedia “12.93” geo:long rdfs:seeAlso gn:6541462 gn:locatedIn “Rieti” gn:name dbpedia:Rieti 46187 gn:population Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 19. 3rd Step: Linking Data “42.57” geo:lat 16.4LPhk1-1 CNCP GeoNames DBpedia “12.93” geo:long rdfs:seeAlso gn:6541462 gn:locatedIn “Rieti” gn:name dbpedia:Rieti 46187 gn:population Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 20. Apps We can now build applications that – make queries via SPARQL endpoints – crawl data by following links – integrate various RDF dumps – query data from multiple sources Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 21. Apps We can now build applications that – make queries via SPARQL endpoints – crawl data by following links – integrate various RDF dumps – query data from multiple sources Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 22. Apps We can now build applications that – make queries via SPARQL endpoints – crawl data by following links – integrate various RDF dumps – query data from multiple sources Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 23. Apps We can now build applications that – make queries via SPARQL endpoints – crawl data by following links – integrate various RDF dumps – query data from multiple sources Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 24. Future work – More interlinks between datasets – Interlinks with AGROVOC and integration in the AGRIS portal – Move URIs under the entecra.it domain Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 25. Future work – More interlinks between datasets – Interlinks with AGROVOC and integration in the AGRIS portal – Move URIs under the entecra.it domain Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 26. Future work – More interlinks between datasets – Interlinks with AGROVOC and integration in the AGRIS portal – Move URIs under the entecra.it domain Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 27. Acknowledgements Riccardo Bruno (from INFN) and Gino Barreca (from CRA) for the help with configuring the server infrastructure. Linked Open Data for germplasm and soil Luca Matteis 20/09/2014
  • 28. Thank you! Linked Open Data for germplasm and soil Luca Matteis 20/09/2014