Linking knowledge spaces
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The document discusses how linked data provides an improved way of publishing and connecting data on the web compared to traditional methods. It explains the basic principles of linked data, including using URIs to identify things and linking those URIs to other related data. This allows data to be integrated and explored more easily across different sources. As an example, it describes how linked data allows research information to be browsed and mapped in a live, interconnected manner rather than separate static datasets.
Linking knowledge spaces
- 1. Data Archiving and Networked Services Linking knowledge spaces Christophe Guéret (@cgueret) DANS is een instituut van KNAW en NWO
- 2. Take home message ● Best practices for data are so 90’s … but, no worries, there are alternatives ;-) ● “Linked Data” is not a new data exchange standard. It is a way to publish and link data using the Web ● Linked knowledges spaces are richer and easier to map & explore
- 3. Moving back in time… © Tom Ryan, Flickr
- 4. Dealing with documents until 1989 ● 4 simple, natural, steps (using the Internet) : ○ ○ ○ ○ Get a document from a source Find a software able to process it Process and write down links to other documents Keep an eye on updates ● Somewhat cumbersome ○ Authors can not easily link documents ○ Hard to process & keep up with updates ○ Hard to get a “big picture” out
- 5. Then came the Web … ● Easy ○ Web browsers display Web documents served by Web servers and wrote using a common language ● Convenient ○ Latest version of a document available from the Web server ○ Links between unique identifiers assigned to Web documents (Uniform Resource Identifier) ● Scalable ○ Decentralised document publication platform
- 6. This had a tremendous success! ● > 40 billion indexed web documents ● Numerous standards and tools ● Dedicated services to find and use documents
- 7. We could hardly go back now ● Would you dare not creating a web site for your research group or yourself ? ● Web technologies are reaching out beyond simple documents
- 8. Now it is data that matters © Luc Legay, Flickr
- 9. Dealing with data until, well, now ● 4 simple, natural, steps (using the Internet) : ○ ○ ○ ○ Get a dataset from a source Find a software able to process it Process and write down links to other datasets Keep an eye on updates ● Somewhat cumbersome ○ Authors can not easily link datasets ○ Hard to process & keep up with updates ○ Hard to get a “big picture” out
- 10. Sounds familiar ? ● We deal with data the way we dealt with documents 20 years ago ● Lots of different formats, no links, hard to have up-to-date data, model de-coupled from the data...
- 11. Linked Data ● 4 design principles, introduced in 2006 ○ Use URIs as names for things ○ Use HTTP URIs so that people can look up those names ○ When someone looks up a URI, provide useful information, using the standards (RDF*, SPARQL) ○ Include links to other URIs so that they can discover more things ● Publish data using the Web (not on the Web)
- 12. Linked Data ● 4 design principles, introduced in 2006 ○ Use URIs as names for things ○ Use HTTP URIs so that people can look up those names Packed with good stuff: ○ When someone looks up a URI, provide useful Open standards information, using the standards (RDF*, SPARQL) HTTP ReST ○ Include links to other URIs so that they can discover De-centralised publication more things ● Publish data using the Web (not on the Web)
- 13. Concretely... ● Lille is in France and called “Rijsel” in Dutch http://dbpedia.org/resource/Lille http://dbpedia.org/ontology/country http://www.w3.org/2000/01/rdf-schema#label http://dbpedia.org/resource/France “Rijsel”@NL
- 14. Concretely... ● Lille is in France and called “Rijsel” in Dutch http://dbpedia.org/resource/Lille Hey! I can click on that too! http://dbpedia.org/ontology/country http://www.w3.org/2000/01/rdf-schema#label http://dbpedia.org/resource/France “Rijsel”@NL Part of the data integration is already done!
- 15. Linked Data + Open Data = LOD ● 5-star scheme to get from closed data to open linked data http://5stardata.info/
- 16. LOD + Semantics = Semantic Web ● Tell a bit about the Semantics of your data and a computer will derive new facts for you ● For instance, “All the cities in France are in Europe” => “Lille is in Europe”
- 17. Let’s take a step back ● A quick comparison of some features... Web of Documents Web of Data Any data on the Web Model Tree Statements Varied Identifiers URI URI URN + URI Serialisation XML XML, TTL, ... XML, CSV, ... Granularity Page Statement Data set Access Look up Look up Download Schema HTML Varied Varied Query language XQuery / XPath SPARQL Varied Sweet spot for data integration !
- 18. Linking & Mapping knowledge spaces © Christopher Bulle, Flickr
- 19. Mapping knowledge spaces ● Without Linked Data ○ ○ ○ ○ Download individual data sets Integrate them as another data set Map the output (return to the first step on every update) ● With Linked Data ○ Index the different data sources ○ Map the output using “live” data ○ Eventually, cache the data for speed/accessibility
- 20. Example: Research landscape ● Without www.narcis.nl
- 21. Example: Research landscape ● With : http://narcis-vivo.appspot.com/ Dutch + French data Running without data
- 22. Live browsing of the Web of Data ● LODLive at http://en.lodlive.it/
- 23. Information relevant to FAO efforts ● OpenAGRIS : http://agris.fao.org/openagris/index.do
- 24. Take home message ● Modern best practices are so 90’s … but this can be changed ;-) ● “Linked Data” is not a new data exchange standard. It is a way to publish and link data using the Web ● Linked knowledges spaces are richer and easier to map & explore