informal presentation about res
TRANSCRIPT
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LD & the research and education spaceChristophe GuéretArchive Development (TV) / TSA (D&E)@cgueret
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disclaimer: will be experimenting following guidelines from Alice
Bartlett and Russell Davies (mostly)
@mildlydiverting made the Google Template
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1. Linked Data
2. Research and Education Space
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1. Linked Data
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Linked Data Linked Open DataSemantic Web
Three different concepts !
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Linked Data
Method for publishing data using HTTP as a storage and communication layer
More info on https://en.wikipedia.org/wiki/Linked_data
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Linked Open Data
Linked Data applied to Open Data
For a definition of Open Data : http://opendefinition.org/
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Semantic Web
Using the semantic capabilities of Linked Data to derive information
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Why Linked Data ?
Slides derived from http://www.slideshare.net/cgueret/linking-knowledge-spaces
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Dealing with documents until 1989
1. Find a source for the document2. Find a way to parse the document3. Create links and index the content4. Repeat on each update
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Then came the Web...Standardized, connected, decentralised, easy
Document
Document
Document
One server Another server
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Dealing with data until, well, now
1. Find a source for the data2. Find a way to parse the data3. Create links and index the data4. Repeat on each update
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We deal with data the way we dealt with documents 20 years ago
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Many formats, no links, ETL
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Okay it’s not that bad...
● We have Web APIs now● All the APIs are RESTful● All the APIs do JSON, or XML
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But what about schemas ? and links ?
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Linked Data = doing the Web again but for data instead of documents
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It’s possible because“Factual knowledge is a graph”
http://videolectures.net/iswc2011_van_harmelen_universal/
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Concretely“Lille is in France and called Rijsel in Dutch”
http://dbpedia.org/resource/Lille
http://dbpedia.org/resource/France“Rijsel”@nl
http://dbpedia.org/ontology/country
http://www.w3.org/2000/01/rdf-schema#label
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Not rocket science:
● Use IRIs for identifiers● Bind identifiers to data about them● Bind identifiers to other identifiers● Use IRIs for typing the links
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Vocabularies
● QB : statistics● PROV-O : provenance● SIOC : social media● Schema.org : search engine results● And many more ...
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Every data set is a graph part of a bigger graph
Only need to know the vocabulary used to meaningfully consume it
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Vocabularies are part of the graph too!
http://dbpedia.org/ontology/country
http://www.w3.org/2000/01/rdf-schema#comment
“The country where the thing is located.”@en
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Content negotiationhttp://dbpedia.org/resource/Cardiff
http://dbpedia.org/page/Cardiff http://dbpedia.org/data/Cardiff.ttl
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Content negotiationhttp://www.bbc.co.uk/programmes/b006q2x0#programme
http://www.bbc.co.uk/programmes/b006q2x0 http://www.bbc.co.uk/programmes/b006q2x0.rdf
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Two major traps to avoid
● Using the same IRI for a thing and the document describing it
● Applying a license to a thing instead of applying it to a document
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And the semantic web then ?
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LOD + Semantics = Semantic Web
● Document vocabularies with logics => New data gets derived
● “Lille is in France” + “All cities in France are in Europe” => “Lille is in Europe”
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http://www.slideshare.net/ConnectedDataLondon/ten-years-of-linked-data-at-the-bbc
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2. Research and Education Space
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http://res.space
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In practice we
● Help GLAMs to publish LOD● Crawl and index that LOD● Provide a search interface over the
data crawled
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Our crawler follows links across data publishers to hunt for (properly licensed) LOD
There is a set of rules used to interpret the data in a specific way
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All of that is open source ! Both what we use and what we code :-)
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https://github.com/orgs/bbcarchdev
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http://acropolis.org.uk/