LinkedUp - Linked Data & Education

06/11/12 1Stefan Dietze

MotivationData on the Web

Some eyecatching opener illustrating growth and or diversity of web data

LinkedUp: Linking Web Data for Education Project – Open Challenge in Web-scale Data Integration

Stefan Dietze (L3S Research Center, DE)


RecSys

TEL

Web-scale exploration of (educational) resources and data ?

(Linked) Web Data

TEL data vs Linked Open Data


TEL data on the Web

Open Educational Resource (OER) metadata & MOOC collections (e.g. OpenCourseware, OpenLearn, Merlot, Coursera)

Competing Web interfaces (e.g. OAI-PMH, SOAP, REST)

Competing metadata standards (e.g. IEEE LOM, ADL SCORM, DC…) & taxonomies & exchange formats (JSON, RDF, XML)

Issues: heterogeneity & lack of interoperability


TEL data on the Web

Open Educational Resource (OER) metadata & MOOC collections (e.g. OpenCourseware, OpenLearn, Merlot, Coursera)

Competing Web interfaces (e.g. OAI-PMH, SOAP, REST)

Competing metadata standards (e.g. IEEE LOM, ADL SCORM, DC…) & taxonomies & exchange formats (JSON, RDF, XML)

Issues: heterogeneity & lack of interoperability


Linked Open Data

Vision: well connected graph of open Web data

W3C standards (RDF, SPARQL) to expose data, URIs to interlink datasets

=> vast cloud of interconnected datasets

Crossing all sorts of domains

32 billion triples (September 2011)


Linked Data for Education

Relevant knowledge and data

Publications: ACM, PubMed, DBLP (L3S), OpenLibrary

(Cross-)domain knowledge & resources: Bioportal for Life Sciences, historic artefacts in Europeana, Geonames, DBpedia, Freebase, …

Media resource metadata: BBC, Flickr, …

Explicit educational data

University Linked Data: eg The Open University UK, http://data.open.ac.uk, Southampton University, …

OER Linked Data: mEducator Linked ER (http://ckan.net/package/meducator), Open Learn LD

Schemas: Learning Resource Metadata Initiative (LRMI, http://www.lrmi.net/), mEducator OER schema (http://purl.org/meducator/ns)


Linked Open Data

Vision: well connected graph of open Web data

W3C standards (RDF, SPARQL) to expose data, URIs to interlink datasets

=> vast cloud of interconnected datasets

Crossing all sorts of domains

32 billion triples (September 2011)

=> http://linkededucation.org; http://linkeduniversities.org

http://data.open.ac.uk/

http://ckan.net/package/meducator

http://www.lrmi.net/

http://purl.org/meducator/ns

http://linkededucation.org/

http://linkeduniversities.org/

RecSys

TEL

Slow take-up => crucial challenges:

Scalability, performance & robustness (in large-scale data environments)

Licensing & legal issues

Web data quality and consistency

Benchmarking & evaluation

…

(Linked) Web Data

Network of supporting organisations (see 3.2 Spreading excellence, exploiting results, disseminating knowledge)

• Dissemination (events, training) • Data sharing initiatives• Community building & clustering• Technology transfer• Cashprice awards & consulting

Initialisation

Personal data

Webdata

LinkedUpsubmission data

LinkedUp Support Actions

LinkedUp Challenge Environment• LinkedUp Evaluation Framework• Methods and Test Cases• LinkedUp Data Testbed• Competitor ranking list

PP

SFEI

BO

CC

S

ET

3 stages of the LinkedUp competition

Stage 1-Initialisation

Stage 2

• Lowest requirements level for participation• Inital prototypes and mockups, use of data

testbed required• 10 to 20 projects are expected

Stage 3

• Medium requirements level for participation• Working prototypes, minimum amount of

data sources, clear target user group• 5 to 10 projects are expected

Stage 4

• Deployment in real-world use cases• Sustainable technologies, reaching out

to critical amount of users,• 3 to 5 projects are expected

Participationcriteria

Challenge and evaluation framework aimed at: Leap in robustness/scalability of (Big) data integration technologies

(data analytics, mining, storage, analysis) Real-world use case: Web-based education facilitated by open Web data

LinkedUp in a nutshell


…provides: Legal & technical

guidance Data & use cases Evaluation

results Financial awards …

What? When? How? …

! 2 years !


Data integration, Web technologies & evaluation

Dissemination and exploitation of open Web data

Educational technologies, (meta)data and resources

LinkedUp consortium(Scientific) expertise in three strategic areas

L3S Research Center, Leibniz University, DE Leading institute in Web science &

data technologies as well as technology-enhanced learning

Strong experience in coordinating EC R&D projects

KMI, The Open University, UK Leading R&D institute in areas related to LinkedUp World’s largest distance university (over 200.000

students)

CELSTEC, The Open University, NL R&D institute in educational technologies and part of the

largest distance university in the netherlands

Exact Learning Solutions, IT SME in educational technologies and services with

long-standing experience in (EC-funded) R&D projects

Elsevier, NL Leading scientific & educational publisher Innovative research on the future of publishing &

extensive experience in data competitions

The Open Knowledge Foundation, UK Not-for profit organisation to promote open

knowledge and data; global network Host of key events (OKCon) and platforms (eg CKAN)

LinkedUp consortium(Scientific) expertise in three strategic areas

18/09/1211 Stefan Dietze

International(outside Europe)

LinkedUp network/associated partners

Commonwealth of Learning, COL (CA)

Athabasca University (CA)

Talis Group (UK)

SURF NL (NL)

Université Fribourg, eXascale Infolab Group (CH)

Democritus University of Thrace (GR)

AKSW, Universität Leipzig (DE)

Aristotele University of Thessaloniki (GR)

CNR Institute for Educational Technologies (IT)

Clam Messina Service and Research Centre (IT)

Eurix (IT)

Ontology Engineering Group (OEG), UPM, (ESP)

Persistent “LinkedUp Network”(community of industrial and academic institutions)

Advisory Board

Dan Brickley Google, UK & W3C Schema.org / Learning Resource

Metadata Initiative FOAF project

Sören Auer Agile Knowledge Engi-

neering and Semantic Web (AKSW) group leader, University of Leipzig

DBpedia, Coordinator of LOD2 project

Philippe Cudré-Mauroux Head of eXascale Infolab University of Fribourg,

Switzerland

Venkataraman Balaji Director, Technology &

Knowledge Management Commonwealth of Learning –

http://col.org


http://col.org/

EC IP OKKAM: Web entity identification & discovery

EC BPN mEducator: Integration of educational resources based on LOD

EC STREP LUISA: Semantic Web technologies for sharing of OER

EC NoE STELLAR: educational Web technologies network

OpenScout: promotion of use of open educational content

Previous collaborationsR&D projects & events/initiatives

LILE: Linked Learning (Linked Data for Education) workshop series

LALD: Learning Analytics and Linked Data workshop (series)

LinkedEducation http://linkededucation.org

LinkedUniversities http://linkeduniversities.org

Joint special issues related to LinkedUp(Semantic Web Journal and ILE)

European Association for Technology-enhanced Learning (EATEL)


R&D ProjectsEvents & Initiatives

Large-scale challenges & competitions Open Data Challenge

(http://opendatachallenge.org/): Europe‘s largest open data competition, 430 submissions from 24 member states

Elsevier Grand Challenge (http://www.elseviergrandchallenge.com): communication of scientific information.

Semantic Web Challenge (http://challenge.semanticweb.org/) large-scale Semantic Web data applications

Semantic Web Service Challenge (http://sws-challenge.org) : evaluation of semantic web service technologies

Web data dissemination and events The Open Knowledge Conference (OKCon):

annual open knowledge conference run by OKFN

DataTEL theme team: gathering of open data within education (OUNL)

Open Government Data Camp: http://ogdcamp.org/

Open Data Handboook http://opendatahandbook.org/: living online manual for basic concepts of ‘open data’

Topical working groups and hackdays, eg http://okfn.org/wg/

Data catalogues & (educational) datasets CKAN: The Data Hub, the most important registry of open

knowledge datasets (hosted and managed by OKFN). LUCERO, http://data.open.ac.uk: first extensive Linked Data

university dataset, approach adopted by many universities mEducator Linked Educational resources: one of first OER

datasets in Linked Data cloud (LUH, OUUK)


Other related initiatives from LinkedUp partners

?

Objective 2Evaluation

Framework for Open Web

Data Applications

Objective 1 Open Web

Data Success Stories

Educational Web data & technologies

createevaluate

supportcreatedemonstrate

Objective 3Technology

Transfer in the Education

Sector

demonstratesupport

support

evaluatesupportcreate

demonstrate / support

evaluate

Goals




Data Applications




createevaluate




Sector

demonstratesupport

support



evaluate

Goals & tangible outcomes

Competition framework & community

Evaluation framework for large-scale Web data applications and data(metrics, methods, benchmarks)

Large-scale data testbed of quality-assessed datasets


Network of supporting organisations (see 3.2 Spreading excellence, exploiting results, disseminating knowledge)

• Dissemination (events, training) • Data sharing initiatives• Community building & clustering• Technology transfer• Cashprice awards & consulting

Initialisation

Personal data

Webdata

LinkedUpsubmission data

LinkedUp Support Actions

LinkedUp Challenge Environment• LinkedUp Evaluation Framework• Methods and Test Cases• LinkedUp Data Testbed• Competitor ranking list

PP

SFEI

BO

CC

S

ET

3 stages of the LinkedUp competition

Stage 1-Initialisation

Stage 2

• Lowest requirements level for participation• Inital prototypes and mockups, use of data

testbed required• 10 to 20 projects are expected

Stage 3

• Medium requirements level for participation• Working prototypes, minimum amount of

data sources, clear target user group• 5 to 10 projects are expected

Stage 4

• Deployment in real-world use cases• Sustainable technologies, reaching out

to critical amount of users,• 3 to 5 projects are expected

Participationcriteria

Periodic/continuous challenge


Goals & tangible outcomesChallenge & evaluation framework (WP1, WP2)LinkedUp in a nutshell

Educational data gathering - community-approach: Linked Education cloud “LinkedUp/Linked Education cloud” as subset of LOD cloud CKAN – “The DataHub” (ckan.net) for data collection (analogous to LOD approach) Dedicated group (“linked-education”) for cataloging educational datasets

Educational data integration & infrastructure: Linked Education graph Linked Education cloud => Linked Education graph Integration of (selected) datasets into coherent (RDF) dataset Infrastructure and unified (SPARQL) endpoint for LinkedUp challenge


Goals & tangible outcomesData curation & “testbed” (WP3): initial ideas

Educational Data



Data Applications




createevaluate




Sector

demonstratesupport

support



evaluate

Highly innovative, evaluated applications of large-scale Web data

“LinkedUp Challenge” offers incentive and support to steer submissions

Educational scenario: (a) challenging vision and (b) real-world scenario and requirements


Goals & tangible outcomes

LinkedUp in a nutshell

Technical achievements & progress in, e.g. Information Retrieval tasks (performance, scalability) Data integration (eg schema mapping, data interlinking,

entity co-reference resolution)

Characteristics Specific & constrained challenge tasks & datasets Evaluation with traditional quantitative measures

(precision, recall, response times, … ) Impact primarily scientific (at least in short-term)

End-user applications facilitated by Open Data & resources Tutoring systems (course/resource development) &

educational resource sharing and discovery solutions Certificate-level Web education offerings

Characteristics Open & less constrained challenge tasks (eg use cases) and

data Evaluation via qualitative and quantitative criteria Impact on academia, industry, society


Goals & tangible outcomesSuccess stories: in both research & practice



Data Applications




createevaluate




Sector

demonstratesupport

support



evaluate

Technology transfer, increase in collaboration and awareness (best practices, clusters/communities, events)

Transfer of innovative R&D results

Increase in awareness about open Web data and scalable data integration methods


Goals & tangible outcomesin a nutshell

Clustering Joint clustering activities with

related organisations (“LinkedUp Network”) …

…and EC-funded R&D projects, such as LOD2 ARCOMEM SEALS, etc.

Dissemination events & platforms Showcases & tutorials collocated with

relevant conferences (WWW, ISWC, ESWC, ICDE, LAK etc)

System demonstrations Topical hackdays LILE, LALD, DataTEL workshop series

(established, persistent and growing communities)

Open Knowledge Conference OKCON LinkedEducation.org,

LinkedUniversities.org

Standardisation Participation/support of standardisation of

schemas and technologies through working groups (eg W3C or http://okfn.org/wg/)

Data catalogues (eg CKAN) and community data portals (eg http://bibsoup.net/)

Standardisation initiatives and working groups(eg Creative Commons LRMI)

Viral dissemination channels Sharing of publications via Mendeley,

Research Gate, CiteULike, Academia.edu

Advertisement of slides, showcases and demo videos on Slideshare, Youtube, Videolectures.net, Vimeo

Social network channels such as Twitter, LinkedIn

Source code sharing via Source Forge

Use of open licensing schemes (CC)

Exploitation, dissemination, sustainability


http://purl.org/dietze / [email protected]

http://linkededucation.org

http://linkedup-project.eu

Thank you!


Date post:	27-Jan-2015
Category:	Education
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