Publishing Linked Open Data in 15 minutes
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The document discusses the publishing of linked open data, detailing how to publish it effectively using best practices based on semantic web technologies. It introduces tools like lodspeakr for easy and rapid publication of data in various formats, facilitating data discovery and integration. The conclusion emphasizes the potential for creating web applications based on linked open data and future plans for integrating the system with platforms like Drupal and WordPress.
Publishing Linked Open Data in 15 minutes
- 1. Publishing Linked Open Data in 15 minutes Alvaro Graves Tetherless World Constellation Rensselaer Polytechnic Institute gravea3@rpi.edu @alvarograves 1
- 2. Agenda • How do we publish data? • What is Linked Data ... • ...and why should I care? • Publishing using LODSPeaKr • Conclusions 2
- 3. How do we publish data? • Upload file on a web/ftp server as a dump • Easy to publish • Hard to find/use • Export as a HTML page • Easy to publish and find • Very hard to use • Publish as Linked Data • (Not that) easy to publish • Easy to use and find 3
- 4. What is Linked Data? • Set of best practices (based on Semantic Web technologies) to publish structured data on the Web • Use of Web technologies (RDF, HTTP, URIs) • Connect my data to other people’s data by links 4
- 5. What is Linked Data? (2) http://logd.tw.rpi.edu/id/us/state/New_York rdfs:label New York dcterms:identifier NY 5
- 6. What is Linked Data? (2) http://www.ny.gov foaf:homepage http://dbpedia.org/resource/New_York owl:sameAs dbpedia-owl:capital http://dbpedia.org/resource/Albany,_New_York http://logd.tw.rpi.edu/id/us/state/New_York rdfs:label New York dcterms:identifier NY 6
- 7. What is Linked Data? (3) • When somebody lookup those URIs, provide useful information • HTML for humans • RDF for machines • Link to other relevant datasets so people can discover more data 7
- 8. Why should I care? • LOD makes it easier to access data by applications • “Breaks the walls of data silos”, a Web of Data • It also makes it easier to discover new data • Easy integration of heterogeneous data 8
- 9. From Government Data to Linked Open Goverment Data fm:farmersMarket_4239 a fm:FarmersMarket ; con:address implicit_address:address_4239 ; dcterms:title "Troy Neighborhood Farmers Market - Downtown" ; wgs:lat "-73.68599"^^xsd:decimal ; State Name Address City Zipcode Lat Long wgs:long "42.73168"^^xsd:decimal ; Troy Neighborhood ov:csvRow "4239"^^xsd:integer . New York Farmers Market - 6th Ave Troy 12180 -73.686 42.73168 Downtown fm:farmersMarket_4243 a fm:FarmersMarket ; The con:address implicit_address:address_4243 ; Troy Neighborhood MarketPlace, Hill dcterms:title "Troy Waterfront Farmers Market" ; New York Farmers Market- Little Street, btw Troy 12181 -73.6898 42.72478 Italy Washington & wgs:lat "-73.68942"^^xsd:decimal ; Liberty Sts. wgs:long "42.73491"^^xsd:decimal ; ov:csvRow "4243"^^xsd:integer . Data Conversion Publication Publication Creation to RDF Enhancements 9
- 10. Example: Data about farmers markets State Name Address City Zipcode Lat Long Troy Neighborhood New York Farmers Market - 6th Ave Troy 12180 -73.686 42.73168 Downtown The Troy Neighborhood MarketPlace, Hill New York Farmers Market- Little Street, btw Troy 12181 -73.6898 42.72478 Italy Washington & Liberty Sts. 10
- 11. Conversion • csv2rdf4lod • Encodes data + conversion process • Replicable conversions • Google Refine • Nice interface • Easy to use 11
- 12. Example: Data about Farmers Markets State Name Address City Zipcode Lat Long Troy Neighborhood New York Farmers Market - 6th Ave Troy 12180 -73.68599 42.73168 Downtown The MarketPlace, Troy Neighborhood Hill Street, btw New York Troy 12181 -73.68983 42.72478 Farmers Market- Little Italy Washington & Liberty Sts. fm:farmersMarket_4239 a fm:FarmersMarket ; con:address implicit_address:address_4239 ; dcterms:title "Troy Neighborhood Farmers Market - Downtown" ; wgs:lat "-73.68599"^^xsd:decimal ; wgs:long "42.73168"^^xsd:decimal ; ov:csvRow "4239"^^xsd:integer . fm:farmersMarket_4243 a fm:FarmersMarket ; con:address implicit_address:address_4243 ; dcterms:title "Troy Waterfront Farmers Market" ; wgs:lat "-73.68942"^^xsd:decimal ; wgs:long "42.73491"^^xsd:decimal ; ov:csvRow "4243"^^xsd:integer . I can load it into a triple store. Now what? 12
- 13. LODSPeaKr Simple kit for Publishing Linked Open Data bash < <(curl http://lodspeakr.org/install) 13
- 14. LODSPeaKr • Site running in 15 minutes • Publish in different formats (RDF/XML, Turtle, RDFJSON, etc.) • Highly customizable using templates • Facilitates data exploration 14
- 15. LODSPeaKr installed, no further configuration
- 17. ...But I want the raw data $ curl http://graves.cl/farmersmarket/version/2010-Oct-22/farmersMarket_4239.rdf <?xml version="1.0" encoding="UTF-8"?> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:ns0="http://purl.org/dc/terms/" xmlns:ns1="http://www.w3.org/2000/10/swap/pim/contact#" xmlns:ns2="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:ns3="http://open.vocab.org/terms/"> <rdf:Description rdf:about="http://graves.cl/farmersmarket/version/2010-Oct-22/ farmersMarket_4239"> <ns0:isReferencedBy rdf:resource="http://graves.cl/farmersmarket/version/2010-Oct-22"/> <rdf:type rdf:resource="http://graves.cl/farmersmarket/vocab/FarmersMarket"/> <ns1:address rdf:resource="http://graves.cl/farmersmarket/version/2010-Oct-22/ http_www_w3_org_2000_10_swap_pim_contact_address/address_4239"/> <ns0:title>Troy Neighborhood Farmers Market - Downtown</ns0:title> <ns2:lat rdf:datatype="http://www.w3.org/2001/XMLSchema#decimal">-73.68599</ns2:lat> <ns2:long rdf:datatype="http://www.w3.org/2001/XMLSchema#decimal">42.73168</ns2:long> <ns3:csvRow rdf:datatype="http://www.w3.org/2001/XMLSchema#decimal">4239.0</ns3:csvRow> </rdf:Description> </rdf:RDF> Data available as RDFJSON, RDF/XML, N-Triples and N3/Turtle
- 18. Use Linked Data to find more information http://foo.com/a owl:sameAs http://bar.com/a http://bar.com/a owl:sameAs http://yuu.com/a http://foo.com/sparql LODSPeaKr http://bar.com/sparql http://yuu.com/sparql Final Page 18
- 19. Multiple queries from multiple sources Endpoint A Endpoint C Endpoint F LODSPeaKr Endpoint B Endpoint D Final Page 19
- 20. Using information from DBpedia 20
- 21. SPECIAL URIs • Sometimes is useful to create (exploratory) documents not related to one specific URI • Users can create their own using templating system 21
- 22. Conclusions • It is possible to publish Linked Open Data in a rapid, simple way • From here it is possible to start creating webapps based on Linked Open Data • Open Data Portals • Machine-readable APIs • Mobile webapps 22
- 23. Future work • Integrate LODSPeaKr with Drupal, WordPress, etc. • “A Framework for Linked Data apps” • Comments, suggestions and bug reports are welcome! 23
- 24. LODSpeaKr http://lodspeakr.org Farmers Market data http://graves.cl/farmersmarket gravea3@rpi.edu @alvarograves 24