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LinkedUp Veni Competition: Linked and Open Data for Education

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LinkedUp Veni Competition:

Linked and Open Data for Education

Mathieu d’Aquin

The Open University United Kingdom

m.daquin@open.ac.uk

Stefan Dietze

L3S Research Center Germany

dietze@L3S.de

Hendrik Drachsler

Open Universiteit Nederland The Netherlands

Hendrik.Drachsler@ou.nl Marieke Guy

Open Knowledge Foundation United Kingdom

marieke.guy@okfn.org

Eelco Herder

L3S Research Center Germany

herder@L3S.de

ABSTRACT

Linked Data is a set of well-defined principles for sharing of large datasets on the Web. The huge success and widespread adoption of the Linked Data approach has led to the avail- ability of vast amounts of public data such as DBpedia, WordNet RDF or the data.gov.uk initiative. The LinkedUp Veni Competition, organised by the LinkedUp Project, is the first in a series of three competitions on tools and de- mos that analyse or integrate open web data for educational purposes.

1. INTRODUCTION

The Semantic Web has redefined itself throughout the last years as a Web of ‘Linked Data’1, by establishing principles that support sharing of large datasets on the Web together with a technology stack - fundamentally based on the use of URIs, RDF, and SPARQL - aimed at facilitating these prin- ciples. The foundation of Linked Data is that data objects on the Web are identified by Web addresses (URIs), which can be referenced by a Web link, similarly as one would do with Web documents. This basic principle for easy discov- ery, reference, access and reuse of Web data is now gaining significant momentum in many different areas.

The huge success and widespread adoption of the Linked Data approach has led to the availability of vast amounts of public data such as DBpedia2, WordNet RDF3 or the data.gov.uk initiative4. More recently, these approaches started

∗Authors listed in alphabetical order.

1http://linkeddata.org/

2http://dbpedia.org/

3http://www.w3.org/TR/2006/WD-wordnet-rdf- 20060619/

4http://www.data.gov.uk

to get adopted by education institutions, with Linked Data technologies being used to expose public information regard- ing course offerings, open educational resources and edu- cational facilities in a readily accessible and reusable way.

While the very nature of the Linked Data approach thus clearly offers promising solutions that can potentially trans- form education, it is not yet adopted widely within the ed- ucational field.

2. LINKEDUP PROJECT

The LinkedUp project5is an FP7 Support Action that seeks to explore and exploit open and linked data for education.

This includes data with an explicit educational purpose, as well as other data and information that may not have an explicit educational remit, but can usefully be applied to an educational context.

LinkedUp conducts activities, including the establishment of three competitions and a corresponding evaluation frame- work. The latter will provide a general framework for evalu- ating all aspects of open Web data-driven applications. All activities aim at identifying and promoting innovative suc- cess stories that exploit large-scale Web data in educational scenarios as part of robust applications and tools.

Additional dataset curation activities are resulting in a repos- itory and catalog of well-described and assessed datasets, which will support participants of the challenge, as well as interested data consumers and application developers in gen- eral. In addition, suitable use cases are being collected by the LinkedUp consortium and associated organizations.

3. VENI COMPETITION

The LinkedUp Veni Competition6is the first edition of three consecutive competitions (Veni, Vidi and Vici) looking for interesting and innovative tools and applications that anal- yse and/or integrate open web data for educational pur- poses. The competition was open to anyone who likes mash- ing up data or creating new and interesting tools and appli- cations.

5http://linkedup-project.eu/

6http://linkedup-challenge.org/veni.html

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To support the competition, LinkedUp collected and cat- aloged data explicitly related to education, as well as re- lated data that may be relevant, including useful Web media, user-generated content, Web lectures or academic publica- tions. The data is made available through the Linked Edu- cation catalog7 as well as through a data endpoint8, where a SPARQL endpoint provides access to VoID9 descriptions of currently included datasets.

4. SHORTLIST AND WINNERS

The Veni Competition received 22 submissions from 12 dif- ferent countries, which offered innovative ideas in areas from mobile education, knowledge sharing and museum visits, to politics and sustainable development.

Our evaluation panel considered many aspects of the entries, including innovation, attractiveness and usefulness. They also looked at the relevance for education, the usability and performance of the tools, the data the entry uses or provides, and the way privacy and other legal aspects are dealt with.

The winners were announced at the Open Knowledge Con- ference - OKCon 201310, where the eight shortlisted submis- sions were presented during a dedicated session.

Third Place: We-Share - a social annotation application for educational ICT tools. We-Share can help educators to find tools to support teaching at all educational levels, and received high scores on educational innovation.

Second Place: Globe-Town - a ‘fun to use’ tool that lets users find out the most important trade partners, migrant populations and airline routes of their own countries. It also provides infographics on issues regarding society, envi- ronment and economy.

First Place:Polimedia- connects transcripts of the Dutch parliament with media coverage in newspapers and radio bulletins. Polimedia employs innovative information tech- niques and provides an attractive front-end that invites ex- ploration and browsing.

The remaining shortlisted entries are:

• DataConf- a mobile mashup that enriches conference publications.

• Knownodes- enables defining and exploring connec- tions between web resources and ideas

• Mismuseos- browse and explore the backgrounds and relations between objects from multiple Spanish mu- seums.

• ReCredible- a browsable topic map with wikipedia- like content next to it.

• YourHistory - a Facebook app that shows historic events that are related to your own life.

7http://datahub.io/group/linked-education

8http://data.linkededucation.org/linkedup/catalog/

9http://www.w3.org/TR/void/

10http://okcon.org/

Seven out of eight of the shortlisted submissions have sub- mitted an extended version of their original submission, pro- viding more details and background information. These pa- pers are included in these proceedings of the LinkedUp Veni Competition.

5. ACKNOWLEDGEMENTS

The submissions have been reviewed by an evaluation panel, led by the LinkedUp Advisory Board:

• S¨oren Auer, University of Bonn, Germany

• Balaji Venkataraman, Commonwealth of Learning, Canada

• Dan Brickley, Google, UK

• Philippe Cudre-Mauroux, EPFL, Switzerland

The evaluation panel consisted of the following members:

• Jake Berger, BBC, UK

• Boyan Bontchev, Sofia University, Bulgaria

• Dragan Gasevic, Athabasca University

• Christophe Gu´eret, Data Archiving and Networked Ser- vices (DANS), Netherlands

• Denis Gillet, EPFL, Switzerland

• Davinia Hern´andez-Leo, UPF, Spain

• Geert-Jan Houben, TU Delft, Netherlands

• Marco Kalz, CELSTEC, Open University, Netherlands

• Peter Kraker, Know-Center, Austria

• Leonardo Lezcano, CELSTEC, Open University, Nether- lands

• Stefanie Lindstaedt, TU Graz, Austria

• Abelardo Pardo, University of Sydney, Australia

• Olga C. Santos, UNED, Spain

• Miguel-Angel Sicilia, University of Alcal`a, Spain

• Fridolin Wild, KMI, Open University, UK

• Krassen Stefanov, Sofia University, Bulgaria

• Slavi Stoyanov, CELSTEC, Open University, Nether- lands

The LinkedUp Project is funded by the European Union under FP7 Grant Agreement No 317620.

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