Big Linked Data - Creating Training Curricula

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Big Linked Data Presented by: Barry Norton, Ontotext AD

description

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 of Big Linked Data - Creating Training Curricula

Page 1: Big Linked Data - Creating Training Curricula

Big Linked Data

Presented by:Barry Norton, Ontotext AD

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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