Veni, Vidi, Vici
Three developer competitions sponsored by the LinkedUp Project
The LinkedUp Project has 39.500 EUR in prize money for the LinkedUp Challenge; three consecutive competitions looking for interesting and innovative tools and applications that analyse and/or integrate open web data for educational purposes.
Aimed at anyone from researchers and students, to developers and businesses, each competition will build upon the previous; leading from innovative prototypes and tools through to large-scale deployable systems.
There will be three consecutive competitions. You can enter just one competition or enter them all; participants of the earlier competitions will benefit from support and feedback from the LinkedUp team.
- First competition: Veni (March 2013 – September 2013 – has now taken place): Demo prototypes and applications
- Second competition: Vidi (November 2013 – May 2014): Innovative tools and applications
- Third competition: Vici (May 2014 – November 2014): Mature data-driven applications
You can submit the same entry to each of the competitions but it is expected that you will develop your entry further for each successive competition. Alternately you can submit a different entry to each competition i.e. You DO NOT have to have entered a previous competition to submit.
You can join our low traffic public mailing list to receive regular updates and be involved in discussions around linked data, open data, and education.
The call for submissions is now closed!
- Submission deadline: 14 February 2014
- Notifications and nominations: 28 March 2014
- Presentations and award ceremony at ESWC 2014 (25-29 May 2014)
We’re inviting you to design and build innovative and robust prototypes and demos for tools that analyse and/or integrate open web data for educational purposes. You can submit your Web application, App, analysis toolkit, documented API or any other tool that connects, exploits or analyses open or linked data and that addresses real educational needs. Your tool still may contain some bugs, as long as it has a stable set of features and you have some proof that it can be deployed on a realistic scale.
A webinar introducing the Vidi Competition recently took place and a recording can be watched online.
We have compiled a catalogue of data sets to get you started.
The idea is to mash up the vast amount of material and data on the internet that can be used in education, ranging from course data, lecture slides, and online courses to Wikipedia articles and YouTube videos.
You might design a tool for combining datasets and visualising them in interesting new ways, or perhaps develop a search engine that combines search results from different libraries. Please see our use cases and the Veni submissions if you are looking for further inspiration.
Alternatively, you may already have an idea that you’ve started developing and we’re keen to help you take this further.
The Vidi competition comprises of three tracks:
- One open track for development of any prototype for educational purposes; similar to the Veni competition.
- Two focused tracks for development of prototypes that answer the specific ‘problems’ give below.
- Track 1: Simplificator – Most knowledge and reports about breakthrough research is by definition domain-specific, however seemingly impenetrable ideas can be made possible to understand by small changes. Simplificator calls for applications easing access to complex information by summarizing them in a simpler form.
- Track 2: Pathfinder – Learning opportunities are not always easily discoverable, and rarely come with strong support for identifying, comparing and selecting the ones that can be most beneficial to the (potential) learner. Pathfinder calls for applications easing access to recommendation and guidance when chosing an appropriate curriculum of courses and related resources.
More information on the Focused tracks page.
- Open track: €3000 (1st), €2000 (2nd), €1000 (3rd)
- Each focused track: €3000 (1st prize)
- People’s Choice: €1000
The Vidi competition will run from 4th November 2013 till 14th February 2014. Prizes will be awarded at the European Semantic Web Conference in Crete, Greece in May 2014.
Enter the competition
You can choose between two methods when submitting your application. You can either submit a paper (following the Word template) via EasyChair, or you can fill out the online submission form. As part of the submission, you will also be expected to write a 200 word abstract which will be published on this website after the submission deadline. The method by which you submit will not affect your chances for winning. Your tool should be available to the evaluation panel. A publicly available application or open source code would be a plus, but is not required.
You have till February 14th to submit your prototype.
If you are interested in submitting something for the Vidi competition then please fill in our online ‘expression of interest’ form and indicate if you have any questions or areas we could help you with.
Data & Support
To give people a headstart, the LinkedUp team have collected and catalogued a variety of data related to education. This includes data about open educational resources, course programmes, and educational facilities.
The catalogue is now available, as well as a SPARQL endpoint. We will be adding datasets, and are currently working to get APIs provided to our existing sets.
We don’t want you to feel limited by the datasets we’ve catalogued. Your application can use any open and/or linked data! For example, you can use the wealth of cultural resources from Europeana, which is available both as Linked data and via a REST API.
We also want to help you to get started with your contribution to the challenge, by providing support and guidance with respect to technical issues, the use of data or any other obstacle that might come your way in creating your application: The more information you get, the better it is going to be! For example, you can get in touch with us through our developer’s blog, which contains how-tos, examples and code recipes on the use of linked open data in education. But maybe you have specific questions, such as:
- Is there any data available about the X?
- Are there linked data-based tools to do Y?
- Where can I get old of data Z?
- How do I use SPARQL to do T?
- Is doing U OK for the track V?
What data can be used?
LinkedUp seeks to explore and exploit the wealth of web 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.
Whilst we encourage you to look at the LinkedUp data repository, you should feel free to use open and/or linked data from any sources! You could use data on courses or modules, equipment, locations, contacts, results, learning statistics, learning objects, learning analytics, books, journals, citations, reading lists, teaching assessments, student attendance, calendars, energy use, career information, metrics, travel and more. Or how about data from social networking sites, libraries, cultural organisations or data repositories? The most important thing is that the data is openly accessible.
Who can enter?
The competition is open to anyone around the world who likes mashing up data or creating new and interesting tools and applications. We’re especially keen to see startups get involved.
What do you mean by ‘educational purposes’?
The tools and applications developed must be relevant to education – in the broadest sense of the word. This might mean that they aid learning in some way or that they support educational objectives by expanding knowledge and encouraging critical thinking.
What support is there?
The LinkedUp team have set up a developer blog and will be posting ‘cooking recipes’ and ‘how to guides’. We’re also providing technical support on your code, so please email us with any questions you have.
Who is judging the entries?
Entries will be reviewed by an evaluation committee, lead by the LinkedUp advisory board:
- Sören Auer (University of Leipzig)
- Balaji Venkataraman (Commonwealth of Learning)
- Dan Brickley (Google)
- Philippe Cudre-Mauroux (EPFL)
Additional reviewers are:
- Jesus G. Boticario, UNED, Spain
- Dirk Börner, Open Universiteit, the Netherlands
- Cristian Cechinel, UFPel – Federal University of Pelotas, Brazil
- Adam Cooper, CETIS, University of Bolton, UK
- Philippe Cudré-Mauroux, U. of Fribourg, Switzerland
- Mathieu D’Aquin, KMI, Open University, UK
- Stefan Dietze, L3S Research Center, Germany
- Hendrik Drachsler, Open Universiteit, the Netherlands
- Soude Fazeli, Open Universiteit, the Netherlands
- Franca Giannini, Institute for the Applied Mathematics and Information Technologies CNR, Italy
- Denis Gillet, Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland
- Wolfgang Greller, Vienna University of Education, Austria
- Marieke Guy, Open Knowledge Foundation, UK
- Christophe Guéret, Data Archiving and Networked Services (DANS), the Netherlands
- Eelco Herder, L3S Research Center, Germany
- Tore Hoel, Høgskolen i Oslo og Akershus, Norway
- Geert-Jan Houben, TU Delft, the Netherlands
- Dirk Ifenthaler, Open Universities Australia
- Wilbert Kraan, CETIS. UK
- Peter Kraker, Know-Center, Austria
- Felix Mödritscher, Vienna University of Economics and Business, Austria
- Katja Niemann, Fraunhofer Gesellschaft, Germany
- Eric Ras, Public Research Centre Henri Tudor, Luxembourg
- Christoph Rensing, Technische Universität Darmstadt, Germany
- Olga C. Santos, aDeNu Research Group (UNED), Spain
- Maren Scheffel, Fraunhofer Institute for Applied Information Technology FIT, Germany
- Owen Stephens, Owen Stephens Consulting, UK
- Davide Taibi, Italian National Research Council
- Tiffany Tang, Kean University
- Christoph Trattner, KMI, TU-Graz, Austria
- Raphaël Troncy, EURECOM
- Ruben Verborgh, Ghent University – iMinds – Multimedia Lab, Belgium
- Submissions which receive the highest review ratings with be invited to present at the European Semantic Web Conference (25-29, May 2014) in Crete, Greece.
What are the reviewing criteria?
Submissions will be evaluated according to these six criteria: 1. Educational Innovation, 2. Usability, 3. Data, 4. Performance, 5. Legal aspects, 6. Audience. Below you will find a short description how these criteria will be applied. If you choose to submit to a Focused Track, these will have slightly different evaluation criteria which are detailed on the Focused Tracks page.
- Educational Innovation
Your tool should make innovative use of current technologies or even showcase a new technology, providing the users with learning opportunities that match their individual profiles. This would lead to higher learning achievements, increased satisfaction from learning and less time and effort.
The user interface should be easy to use, but having an attractive user interface is less important.
The submission should use at least one dataset; using web data and providing number of resources. Web data is not necessary available on the Web, but we do expect you to use standard Web protocols like REST or SOAP services. Preferably, the application should use at least two other datasets for enriching the resource.
The submission should run stable and have a good response time. The tool should scale with the current increase in the number of Web Data-reachable learning opportunities.
- Legal aspects
You should describe if you indicate the provenance of the used data and how do you protect the data of your users and inform them about its usage (Terms-of-use)?
When submitting, you are expected to indicate clearly what the target group is and why. If it can be applied in multiple domains please describe how.
What about Intellectual Property Rights?
Neither the LinkedUp Challenge, LinkedUp Project, nor any project partners will claim ownership over your prototypes and tools. You will always retain full ownership of the Intellectual Property, and we will be able to advise you regarding legal, exploitation and dissemination issues relating to your submissions.
What is linked data and open data?
Linked data refers to data that has been published in a structured way so that it can be easily interlinked and become more useful. Open data is data that can be freely used, reused and redistributed by anyone – subject only, at most, to the requirement to attribute and sharealike. Ideally we’d like you to use linked open data for your prototypes, but as there isn’t much linked open data about yet, we are happy for you to use any data that is openly available.
Want some tips on how to work with linked data? See our developer blog.
What is the LinkedUp Project?
The LinkedUp Project is a consortium of six partners: the Open Knowledge Foundation, Leibniz Universitat Hannover, the Open University, Elsevier, the Open Universiteit Nederland, and Lattanzio Learning Spa. Funded by the European Commission in the FP7 programme, the LinkedUp Project aims to push forwards the use of open and linked data available on the Web, in particular for educational purposes.
These people make up the LinkedUp Challenge team:
These people make up the LinkedUp Challenge team:
Data and Support Coordinator
Get in touch!
Do you have any comments or questions? Want some technical support with your code or have suggestions for educational data that we ought to include in our catalogue? Whatever the reason, we’d love to hear from you, and there are multiple ways to get in touch with us:
- Follow us on @linkedupproject
- Drop us an email
- Join our Facebook Group
- Email us using firstname.lastname@example.org
- Subscribe to our public mailing list