Introducing the Linked Data Research Centre

Copyright 2009 Digital Enterprise Research Institute. All rights reserved.

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Introducing theLinked Data Research Centre

Dr. Michael Hausenblas

http://linkeddata.deri.ie

Digital Enterprise Research Institute www.deri.ie

What is it about?

a new cluster?

a new unit?a new stream?

a new project?

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What is it about?

No

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What is it about?

actually, it is about …

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What is it about?

YOU!

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What is it about?

http://linkeddata.deri.ie/people

You ?

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Facts & Figures

The Linked Data Research Centre (LiDRC) is an effort to bundle activities around linked data

Operating horizontal to units, appointed to drive and lead the linked data research and development

Launched in June 2009 Currently we are

11 DERI researcher, and work together with 9 international peers

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Facts & Figures

CTIC Foundation, Spain

Sergio Fernández

Decentralized Information Group MIT, USA

Tim Berners-Lee

Dependable Systems and Software Engineering Research Group, University

of Southampton, UK

Hugh Glaser

Institute of Information SystemsAustria

Wolfgang Halb

Multimedia Information SystemsUniversity of Vienna, Austria

Bernhard Schandl

Web-based Systems GroupFreie Universität Berlin, Germany

Chris Bizer

TecWeb Web Engineering LaboratoryPUC, Brazil

Daniel Schwabe

Tetherless World ConstellationRPI, USA

James A. Hendler

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Linked Data Principles*

1. Use URIs to name things; not only documents, but also people, locations, concepts, etc.

2. To enable agents (human users and machine agents alike) to look up those names, use HTTP URIs

3. When someone looks up a URI we provide useful information; with 'useful' in the strict sense we usually mean structured data in RDF.

4. Include links to other URIs allowing agents (machines and humans) to discover more things

(*) http://www.w3.org/DesignIssues/LinkedData.html

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URIs to name things

http://www.deri.ie/

HTTP URIs fordocuments

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URIs to name things

http://www.deri.ie/about/team/member/Stefan_Decker#me

HTTP URIs forpeople

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URIs to name things

http://linkedgeodata.org/triplify/near/53.273797,-9.05178/500

HTTP URIs forplaces

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URIs to name things

http://ld2sd.deri.org/pushback/doap#pushback

HTTP URIs forsoftware

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URIs to name things

http://dbpedia.org/resource/Happiness

HTTP URIs forabstract concepts

such asemotionsh

ttp

://e

n.w

ikip

ed

ia.o

rg/w

iki/Fi

le:S

mile

y.sv

g

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URIs to name things

… or not so abstract …

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URIs to name things

http://dbpedia.org/resource/Guinness

HTTP URIs foremotions

(alias)

htt

p:/

/ww

w.fl

ickr.co

m/p

hoto

s/p

aulw

ats

on/7

05

89

90

1/

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Lookup yields useful informationhtt

p:/

/ww

w.fl

ickr.co

m/p

hoto

s/b

imp

/43

64

82

27

1/ Some structured data

(hopefully)

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Link to other entities

typed links==

relations between entities

and there are many relations one can think of …

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Relations between entitieshtt

p:/

/ww

w.fl

ickr.co

m/p

hoto

s/oneg

iantl

eap

/34

78

47

75

10

/

personto

person

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Relations between entitieshtt

p:/

/ww

w.fl

ickr.co

m/p

hoto

s/fr

esh

ele

ctro

ns/

32

96

27

29

33

/

personto

software

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Relations between entitieshtt

p:/

/ww

w.fl

ickr.co

m/p

hoto

s/sw

anksa

lot/

27

04

01

71

77

/

softwareto

data

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Relations between entitieshtt

p:/

/ww

w.fl

ickr.co

m/p

hoto

s/m

ceep

/20

76

74

89

80

/

datato

person

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Principles applied …

Linked data principles, aka ‘RDF over HTTP’ are good, but they need to be applied

Linked data principles applied to … open, freely available datasets (in various source

formats such as CSV, XML, etc.), such as Wikipedia Linking Open Data (LOD)

… enterprise data (CRM, XBRL, etc.) Enterprise linked data (eLD)

… (news) feeds, sensors, etc. Streamed linked data

… and what is about your domain?

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Linking Open Data

24 of XYZ

over 100 open data sets, incl. Wikipedia, Geonames, etc., providing over 4.7 billion RDF triples, interlinked by approximately 142 million RDF links

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So, how does it work?

The LiDRC operates within so calledResearch Themes

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LiDRC’s Research Themes

Publishing

Discovery Application Domains

Streamed Linked Data

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LiDRC’s Research Themes

Publishing – creation, interlinking and deployment of linked data

Discovery – finding and using linked data Application Domains – from specific content

domains (software engineering, multimedia, etc.) to linked data driven applications)

Streamed Linked Data – researches data stream such as news feeds, microblogging, RFID/sensor data, etc.

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Services offered by LiDRC

Tutorials and consultancy regarding linked data publishing, consumption and usage

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• Architecture of the World Wide Semantic Web Task Force

• Media Fragments Working Group• RDFa Task Force • Co-chair the upcoming RDB2RDF Working Group.

Services offered by LiDRC

Infrastructure – we contribute to the linked data infrastructure in terms of vocabulary contribute to (W3C) standardisation activities

Vocabulary of Interlinked Datasets

Semantically-Interlinked Online Communities

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Services offered by LiDRC

Infrastructure – we contribute to the linked data infrastructure in terms of providing tools and libraries

Neologism

any23

LDE

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Hot and Emerging Topics

Enterprise Linked Data (new research theme, soon)

HCLS (new application area, soon) Realising the read-write Web of Data (pushback

and RDForms) Linked data enabled microblogging applications Quality, provenance, trust Linked Data-Driven (Web) applications …

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Call for Action

Technical Report about Linked Data Applications - The Genesis and the Challenges of Using Linked Data on the Web

Currently under Linking Open Data community review (till 2009-08-07)

Comment! Discuss! Contribute!

http://linkeddata.deri.ie/tr/2009-ld2webapp

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