Track 13. Applications of Semantic Web technologies for E-Learning (SW-EL@ICALT2014)

Track Chairs

Anido-Rifon Luis Anido-Rifón, Universidade de Vigo, Spain [Coordinator -]
Dicheva Darina Dicheva, Winston-Salem State University, USA
Al-Khalifa Hend Suliman Al-Khalifa, King Saud University , Kingdom of Saudi Arabia
Millard Dave Millard, University of Southampton, UK

Track Program Committee

  • Luis Anido-Rifón, Universidade de Vigo, Spain
  • Darina Dicheva, Winston-Salem State University, USA
  • Hend Al-Khalifa, King Saud University , Kingdom of Saudi Arabia
  • Dave Millard, University of Southampton, UK
  • Maha Al-Yahya, King Saud University, Saudi Arabia
  • Auhood Al-Faries, King Saud University, Saudi Arabia
  • Sergio de Cesare, Brunel University, UK
  • Jorge Gracia, Universidad Politécnica de Madrid, Spain
  • Nuno Lopes, IBM Research - Smarter Cities Technology Centre, Ireland
  • Jason Ohler, Fielding Graduate University, USA 
  • George Vouros, University of Piraeus, Greece
  • Ig Ibert Bittencourt, Federal University of Alagoas, Brazil
  • Sergey Sosnovsky, German Research Centre for Artificial Intelligence, Germany
  • Henda Chorfi Ouertani, King Saud University, Saudi Arabia
  • Haofen Wang, Shanghai Jiao Tong University, China
  • Salvador-Sánchez Alonso, University of Alcalá, Spain
  • Erlend Øverby, Karde AS, Norway
  • Yusuke Hayashi, Hiroshima University, Japan
  • Vania Dimitrova, University of Leeds, UK
  • Thanassis Tiropanis, University of Southampton, UK
  • Cyrille Desmoulins, University of Grenoble, France
  • David Bell, Brunel University, UK
  • Paloma Diaz, Universidad Carlos III de Madrid, Spain

Track Description and Topics of Interest

Ontologies, the Semantic Web, and the Social Semantic Web offer a new perspective on intelligent educational systems by providing intelligent access to and management of Web information, and semantically richer modeling of applications and their users. This allows for the support of more accurate representations of learners, their learning goals, learning material and contexts of use, as well as more efficient access and navigation through learning resources. The goal is to advance intelligent educational systems to achieve improved e-learning efficiency, flexibility, and adaptation for both single users and communities of users.

The notion of the Social Semantic Web describes an emerging design approach for building Semantic Web applications that employs Social Software techniques. Social Semantic Web systems typically elicit domain knowledge through semi-formal ontologies, taxonomies or folksonomies. 

SW-EL researchers continue to integrate both Semantic Web and Social Semantic Web technologies in the e-learning space, and they are now exploring the educational potential of their application in recent areas of research, such as Learning Analytics and Big Data. The educational domain is also one of the main targets within the Linked Open Data initiative.

This track will bring together researchers from different areas, such as knowledge engineering, technology-enhanced learning, learning theories, and cognitive science to discuss how the Semantic Web can serve the needs of different stakeholders (learners, instructors, content creators, learning providers, and policy makers) and to present the latest results of their research.

 The track focuses on issues related but not limited to the following topics:

  • Semantic annotation of learning resources (learning objects, learning repositories, tools, etc.).
  • Methodologies and tools for the development of ontologies in education.
  • Educational applications built over semantic data.
  • Using Semantic Web and Social Web techniques for adaptation and personalization of e-learning applications.
  • Search and Recommendation in educational systems, based on semantic annotation.
  • New vocabularies in educational ontologies.
  • Semantic Web bindings of existing standards and specifications for Learning Technologies.
  • Reuse and interoperability of existing educational ontologies.
  • Semantic Web services for e-Learning.
  • Semantic Web, OpenCourseWare and Massive Open Online Courses (MOOCS).
  • Semantic Web technologies for virtual laboratories.
  • Semantic Web application in Big Data and Learning Analytics.
  • Educational datasets in Linked Open Data.
  • Techniques for extracting semantics from non-structured educational web resources.
  • Semantic enrichment in the educational domain.
  • Semantic Web and Web Science education.

Important dates about ICALT 2014 submissions can be found here.

The ICALT 2014 Author Guidelines can be found here.

The Track 13 CfP can be downloaded from here: