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![LD and business
● Corporate domain: OpenCorporates
● “[...] our primary goal of making company
information more widely available for the
public benefit [...]”
● LD is not (yet) a core part, but they added
some RDF representations and stable,
dereferenceable URIs such as
https://opencorporates.com/id/companies/us_
wa/600413485](https://image.slidesharecdn.com/lodintro-210801164327/75/Linked-Open-Data-A-quick-introduction-15-2048.jpg)
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Linked (Open) Data: A quick introduction
- 1. Linked (Open) Data: Aquick introduction Nicola Vitucci [email protected]
- 2. Intro ● The WWWis on the way to become an immense database (Web of Data) ● What does this mean? – What is it made of? – What is it for? – Whom is it for?
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- 6. LD principles ● Originaldesign rules – Use URIs as unique identifiers for resources (not the same as URL) – Use the HTTP URI scheme (rather than other schemes such as URN), so that URL = URI – When an ID is dereferenced (= looked up), give useful information using the standards (e.g. RDF) – Provide links to other resources ● LOD = LD + open license
- 7. RDF ● RDF (ResourceDescription Framework) is a fundamental brick to build LD ● It is built on the concept of triple: a subject linked to an object by means of a predicate ns2:Ingredient 1 ns2:Ingredient 2 ns2:Product1 ns:product ns:product 10 20 ns:weight ns:weight ns = http://www.example.com/ ns2 = http://www.anotherexample.com/
- 8. RDF: data schema ●In a relational database, we have to look for definitions in the data schema ● Using RDF, instead, we can fully describe data and their schema! ● In order to do this, we need vocabularies – Every term in a vocabulary has a common base URI called namespace
- 9. Common vocabularies ● rdf,rdfs, owl – RDF “core” vocabularies ● dcterms – general properties for resources ● foaf – Friend of a Friend ● geo – geolocalization ● skos – description of schemas and taxonomies ● void, dcat – description of datasets ● doap – description of projects
- 10. Using LD ● Shouldwe know all the details about RDF to be able to use LD? ● “Follow your nose” approach thanks to links – https://www.wikidata.org – http://sameas.org – https://datahub.io
- 11. Using LD Search Tartuon Wikidata more links to visit!
- 12. LD and business ●LD are still somewhat a niche ● Successfully used in some fields, e.g. life sciences ● Still experimental in other domains, e.g. corporate, government, and finance ● Do Linked Data have to be Open? – Not necessarily
- 13. LD and business ●Life sciences domain: OpenPHACTS ● “Developed to reduce barriers to drug discovery in industry, academia and for small businesses” ● The partners are universities as well as companies ● It is built on top of existing well-known public data sources
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- 15. LD and business ●Corporate domain: OpenCorporates ● “[...] our primary goal of making company information more widely available for the public benefit [...]” ● LD is not (yet) a core part, but they added some RDF representations and stable, dereferenceable URIs such as https://opencorporates.com/id/companies/us_ wa/600413485
- 16. LD and business <rdf:Descriptionrdf:about="https://opencorporates.com/id/companies/us_wa/600413485"> <rdfs:label>MICROSOFT CORPORATION</rdfs:label> <rdf:type rdf:resource="http://s.opencalais.com/1/type/er/Company"/> <rdf:type rdf:resource="http://www.w3.org/ns/regorg#RegisteredOrganization"/> <opencorporates:legalName>MICROSOFT CORPORATION</opencorporates:legalName> <rov:legalName>MICROSOFT CORPORATION</rov:legalName> <opencorporates:companyType>Regular Corporation - Profit</opencorporates:companyType> <rov:orgType>Regular Corporation - Profit</rov:orgType> <opencorporates:companyStatus>Active</opencorporates:companyStatus> <rov:orgStatus>Active</rov:orgStatus> <rov:registration rdf:resource="https://opencorporates.com/id/companies/us_wa/600413485#id"/> </rdf:Description>
- 17. Advantages ● Easier interlinkingof heterogeneous data ● Easier creation and maintenance of data schemas ● Distributed “by default” ● Controlled definition of shared knowledge
- 18. Challenges ● Rather newtopic – Needs skill and experience ● As data size increases, performance may worsen – However, this depends on the use case ● Extra care is necessary when using distributed data sources – Accessibility & availability issues – Data quality
- 19. Questions ● We havejust scratched the surface – How to get the most out of LD? – How to build LD? – How to maintain LD? – What is SPARQL? How to use it? – What is an ontology?
- 20. Open Data Day2017 ● “An international celebration of Open Data” ● We’ll have one in Tartu! – Location: here – Time: 11:00-16:00 – Facebook: “Open Data Day / Avaandmete päev 2017” – Web: ● https://okestonia.github.io/opendataday ● https://github.com/okestonia/opendataday – UT Institute of CS is one of the partners
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