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CfP: WWW2015 Workshop LILE2015 - Learning and Education with the Web of Data

From: Stefan Dietze <dietze@l3s.de>
Date: Wed, 26 Nov 2014 11:49:12 +0100
Message-ID: <5475B028.2030503@l3s.de>
To: "semantic-web@w3.org" <semantic-web@w3.org>, Public LOD community <public-lod@w3.org>
CC: linkedup-public@l3s.de

[Apologies for cross-posting]

***** #LILE2015 -Learning and Education with the Web of Data *****

- Web: http://lile.linkededucation.org/2015/  -
- date: 19 May, Florence, Italy -
- collocated with WWW2015 (http://www.www2015.it/ -
- papers in WWW2015 companion proceedings in ACM Digital Library -
- hosting LILE Competition, successor of LinkedUp Challenge -


- 24 January 2015: Research paper & Linked Learning Challenge submission 
- 22 February 2015: Notification of acceptance
- 8 March 2015: Camera-ready paper
- 19 May 2015: Linked Learning 2015 workshop day


The emergence of the Web of Data and its gradual adoption in learning or 
education-related settings has led to the creation of an embryonic “Web 
of Educational Data” including institutional data from universities, as 
well as Linked Data about publicly available educational resources. 
However, while the very nature of the Linked Data approach offers 
promising solutions that can potentially transform education and 
learning, adoption and take-up is still hindered by issues which are 
both technical as well interdisciplinary.

Building on the success of earlier LILE editions 
(http://lile.linkededucation.org/2015/previous/), LILE2015 aims at 
addressing such challenges by providing a forum for researchers and 
practitioners who make innovative use of Linked Data for educational 
purposes. In addition, LILE2015 will also feature the Linked Learning 
Competition, which builds upon the successful LinkedUp Challenge 
(http://linkedup-challenge.org) to support innovative applications using 
Linked Data for learning and education.


The workshop aims to be a highly interactive research forum for 
exploring the promises of the Web of Linked Data in the broad area of 
learning by gathering researchers from the areas of the Semantic Web, 
Social Web, Technology Enhanced Learning (TEL), and Education. We will 
welcome high-quality papers about actual trends in (a) how education 
takes advantage of the Web of Data, especially through Linked Data 
technologies and (b) how Linked Data principles are being applied in 
educational contexts. We will seek application-oriented, as well as more 
theoretical papers and position papers in the following, non-exhaustive 
list of topics:

- Linked data for informal learning and Web-based education
- Using the Web of Data for personalisation and context-awareness in 
- schema.org and LRMI for annotating and exploring educational related 
Web content
- Light-weight educational metadata schemas
- Usability and advanced user interfaces in learning environments and 
linked data
- Exposing learning objects & resources to the Web of Data
- Semantic & syntactic mappings between educational metadata schemas
- Controlled vocabularies, ontologies and terminologies for E-Learning
- Learning flows and designs with Semantic Web technologies
- Linked data in learning analytics and educational data mining
- Visual analytics of educational data
- Linked data in organizational learning and learning organizations
- Assessment item generation from Linked Data/Web Data
- Linked data for harmonizing individual learning goals and 
organizational objectives
- Competency management with linked data
- Collaborative learning on the Web of Data
- Linked-data enhanced social learning


Following up the successful LinkedUp Veni, Vidi and Vici competitions 
(see http://linkedup-challenge.org/), LILE organizes the Linked Learning 
Competition. In this competition, we seek prototypes and demos that use 
open and linked web data for educational purposes.

Submissions should showcase novelty with respect to their techniques, 
application, or educational purpose. A formal evaluation of your 
application is not required, but you should provide sufficient evidence 
to convince the program committee why your submission should win.

The Linked Learning competition accepts both ongoing work and prototypes 
exclusively created for the competition (the latter may be smaller scale 
and less mature than the former category). We compiled a catalogue of 
datasets to get you started - see 

To enter the competition, submit a 3-page research paper (following the 
guidelines indicated below) via EasyChair to the competition category of 
the workshop, in which you briefly introduce your prototype or demo and 
provide a link to the online demonstration or download. Accepted 
submissions will be included in the proceedings and presented at the 
workshop. The winners will be selected by the program committee and 
workshop organisers, based on the received reviews and presentations 
during the workshops.


We welcome the following types of contributions.

- Short (up to 3 pages) and full (up to 6 pages) research papers
- Linked Learning Competition submissions (up to 3 pages)

All submissions must be written in English and must be formatted 
according to the ACM format 
(http://www.acm.org/sigs/publications/proceedings-templates). Please 
submit your contributions electronically in PDF format via the LILE2015 
submission system at

=> https://www.easychair.org/conferences/?conf=lile2015.

Papers will be evaluated according to their significance, originality, 
technical content, style, clarity, and relevance to the workshop. At 
least one author of each accepted paper is expected to attend the 
workshop and register for the conference. The main workshop proceedings 
will be published through the ACM Digital Library (http://dl.acm.org/). 
Furthermore, authors of selected papers will be invited to submit 
extended versions to a dedicated journal special issue.


Best paper awards for both submission types, research papers and 
LinkedUp Challenge submissions, will be kindly provided by the workshop 
sponsors, i.e. the SIG DataTEL (http://ea-tel.eu/sig-datatel/).


- Stefan Dietze (L3S Research Center, Germany)
- Mathieu d’Aquin (The Open University, UK)
- Eelco Herder (L3S Research Center, Germany)
- Dragan Gasevic (Athabasca University, Canada)
Received on Wednesday, 26 November 2014 10:49:48 UTC

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