LD & the research and education spaceChristophe GuéretArchive Development (TV) / TSA (D&E)@cgueret

disclaimer: will be experimenting following guidelines from Alice

Bartlett and Russell Davies (mostly)

@mildlydiverting made the Google Template

1. Linked Data

2. Research and Education Space

1. Linked Data

Linked Data Linked Open DataSemantic Web

Three different concepts !

Linked Data

Method for publishing data using HTTP as a storage and communication layer

More info on https://en.wikipedia.org/wiki/Linked_data

Linked Open Data

Linked Data applied to Open Data

For a definition of Open Data : http://opendefinition.org/

Semantic Web

Using the semantic capabilities of Linked Data to derive information

Why Linked Data ?

Slides derived from http://www.slideshare.net/cgueret/linking-knowledge-spaces

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

Then came the Web...Standardized, connected, decentralised, easy

Document

Document

Document

One server Another server

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

We deal with data the way we dealt with documents 20 years ago

Many formats, no links, ETL

Okay it’s not that bad...

● We have Web APIs now● All the APIs are RESTful● All the APIs do JSON, or XML

But what about schemas ? and links ?

Linked Data = doing the Web again but for data instead of documents

It’s possible because“Factual knowledge is a graph”

http://videolectures.net/iswc2011_van_harmelen_universal/

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

Not rocket science:

● Use IRIs for identifiers● Bind identifiers to data about them● Bind identifiers to other identifiers● Use IRIs for typing the links

Vocabularies

● QB : statistics● PROV-O : provenance● SIOC : social media● Schema.org : search engine results● And many more ...

Every data set is a graph part of a bigger graph

Only need to know the vocabulary used to meaningfully consume it

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

Content negotiationhttp://dbpedia.org/resource/Cardiff

http://dbpedia.org/page/Cardiff http://dbpedia.org/data/Cardiff.ttl

Content negotiationhttp://www.bbc.co.uk/programmes/b006q2x0#programme

http://www.bbc.co.uk/programmes/b006q2x0 http://www.bbc.co.uk/programmes/b006q2x0.rdf

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

And the semantic web then ?

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”

http://www.slideshare.net/ConnectedDataLondon/ten-years-of-linked-data-at-the-bbc

2. Research and Education Space

http://res.space

The Research and Education Space

In practice we

● Help GLAMs to publish LOD● Crawl and index that LOD● Provide a search interface over the

data crawled

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

All of that is open source ! Both what we use and what we code :-)

https://github.com/orgs/bbcarchdev

http://acropolis.org.uk/