big linked data - creating training curricula

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Big Linked Data Presented by: Barry Norton, Ontotext AD

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This presentation includes an overview of the basic rules to follow when developing training and education curricula for Linked Data and Big Linked Data

TRANSCRIPT

Page 1: Big Linked Data - Creating Training Curricula

Big Linked Data

Presented by:Barry Norton, Ontotext AD

Page 2: Big Linked Data - Creating Training Curricula

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Aims for curriculum

1.Show realistic solutions2.Use real data3.Use real tools4.Show scalable solutions5.Eat the dog’s food

EUCLID – a Curriculum for Big Linked Data

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Realistic Solution

Visualization Module

Metadata

Streaming providers

Physical Wrapper

Downloads

Dat

a ac

quis

ition

R2R Transf.LD Wrapper

Musical Content

Appl

icati

on

Analysis & Mining Module

LD D

atas

etAc

cess

LD Wrapper

RDF/ XML

Integrated Dataset

Interlinking CleansingVocabulary Mapping

SPARQL Endpoint

Publishing

RDFa

Other contentEUCLID – a Curriculum for Big Linked Data

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Real Data

EUCLID - Providing Linked Data

• No pizza

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Real Data

EUCLID - Providing Linked Data

• No pizza • No wine

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Real Data

EUCLID - Providing Linked Data

• No pizza • No wine

• No Protégé

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Real Data

EUCLID - Providing Linked Data

• MusicBrainz dataset:

• Music Ontology:

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• Admitted simple start

Real Tools

EUCLID – a Curriculum for Big Linked Data

• Industry-strength by Module 2

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• All tools explained by screencast

Real Tools

EUCLID – a Curriculum for Big Linked Data

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• All tools explained by screencast

Real Tools

EUCLID – a Curriculum for Big Linked Data

Explains how Exercise 1 was created

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• The data of interest may be stored in a wide range or formats:

• Several tools support the process of mining data from different repositories, for example:

Real Tools

Spreadsheetsor tabular data

Databases Text

R2RMLEUCLID – a Curriculum for Big Linked Data

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Scalable Solutions

EUCLID – a Curriculum for Big Linked Data

• MusicBrainz RDF derived via R2RML:

lb:artist_member a rr:TriplesMap ; rr:logicalTable [rr:sqlQuery """SELECT a1.gid, a2.gid AS band FROM artist a1 INNER JOIN l_artist_artist ON a1.id = l_artist_artist.entity0 INNER JOIN link ON l_artist_artist.link = link.id INNER JOIN link_type ON link_type = link_type.id INNER JOIN artist a2 on l_artist_artist.entity1 = a2.id WHERE link_type.gid='5be4c609-9afa-4ea0-910b-12ffb71e3821'"""] ; rr:subjectMap [rr:template "http://musicbrainz.org/artist/{gid}#_"] ; rr:predicateObjectMap [rr:predicate mo:member_of ; rr:objectMap [rr:template "http://musicbrainz.org/artist/{band}#_" ; rr:termType rr:IRI]] .

300M Triples

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Dog Food

EUCLID – a Curriculum for Big Linked Data

• EUCLID output, topics and engagement monitored

public-lodpublic-vocabssemantic-web

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Dog Food

EUCLID – a Curriculum for Big Linked Data

• EUCLID output, topics and engagement monitored

public-lodpublic-vocabssemantic-web

• Offered as public SPARQL endpoint

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Dog Food

EUCLID – a Curriculum for Big Linked Data

• EUCLID output, topics and engagement monitored

public-lodpublic-vocabssemantic-web

• Offered as public SPARQL endpoint

• Will be used as basis of analysis examples

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Results

EUCLID – a Curriculum for Big Linked Data

• Achieving ~100 live viewers:

• Set to exceed 1000 post hoc views /channel (Webinar platform, Vimeo, Slideshare):

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For exercises, quiz and further material visit our website:

@euclid_project EUCLID project EUCLIDproject

http://www.euclid-project.eu

Other channels:

eBook Course

EUCLID – a Curriculum for Big Linked Data