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Special Session
Social Linked Data for Science and Education  - SOLISE 2013

6 - 8 May, 2013 - Aachen, Germany

Within the 5th International Conference on Computer Supported Education - CSEDU 2013



Martin Ebner
Technische Universität Graz
Brief Bio
Martin, Ebner, "Assoc. Prof. Dipl.-Ing. Dr.techn.", Graz University of Technology – Department for Social Learning; Martin is currently head of the Department for Social Learning at Graz University of Technology and therefore responsible for all university wide e-learning activities. He holds an Assoc. Prof. on media informatics and works also at the Institute for Information System Computer Media as senior researcher. His research strongly focuses on e-learning, mobile learning, learning analytics, social media, and the usage of Web 2.0 technologies for teaching and learning. Martin holds a number of lectures in this area as well as workshops and talks at international conferences. For publications as well as further research activities please visit the website: http://martinebner.at
Behnam Taraghi
Graz University of Technology

Brief Bio
Behnam holds a degree of Master of Science in Computer Science from Graz University of Technology and is currently a PhD candidate and research assistant at Department for Social Learning at Graz University of Technology. His research focuses on: PLEs, LMSs, Educational Data Mining, Recommender Systems and Semantic Web.
Laurens De Vocht
University of Gent

Brief Bio
Laurens holds a degree of Master of Science in Computer Science from K.U. Leuven and is currently a PhD candidate at IBBT(iMinds) Department at University of Gent. Laurens specialities are Social Networks Analysis, Semantic Web and Linked Data as well Research 2.0.


This special session aims at providing a discussion forum for approaches and challenges that are making use of web data resources and technologies, especially Social Networks, Semantic Web and Linked Data, for science, teaching, learning and education. The SOLISE 2013 angles for papers about how Social Networks,Lnked Data and Semantic Web can contribute to analyse and adopt data generated by learning enviroments and education and science communities, to improve personalization, usability and analytics of such content for educational and research purposes in every day work. We are looking for preliminary results, position, and research papers. Researchers, experts, enthusiasts, and especially PhD students are welcome and encouraged to submit their contributions.

This is a one day event where instead of classical paper presentations an interactive discussion session will be organised. During the session all of the participant will have the chance to share, discuss and exhchange the opnions and experiences regarding their own and the work of other participants.

- Linked Data sets for science and education
- Using the Web of Data for personalisation and context-awareness in E-Learning and Research 2.0
- Usability advanced user interfaces in learning environments and science based upon Linked Data
- Exposing learning objects to the Web of Data
- Semantic & syntactic mappings between educational and scientific metadata schemas
- Controlled vocabularies, ontologies and terminologies for E-Learning and Research 2.0
- Personal & mobile learning environments designs with Semantic Web technologies
- Social Networks, Semantic Web and Linked data in learning analytics and educational data mining
- Profiling users using Linked Data and Social Networks for E-Learning and Research 2.0
- Search and Querying educational and scientific data using Semantic Web technologies and Linked Data
- Recommender for education systems and scientific comuninities
- Clustering of users using Social Media, Linked Data and Semantic Web for education and science
- Linked data services for education and science


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines and Templates.
Papers should be submitted electronically via the web-based submission system at: http://www.insticc.org/Primoris


All accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on CD-ROM support - and submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus.
SCITEPRESS is member of CrossRef (http://www.crossref.org/).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library


CSEDU Special Sessions - SOLISE 2013
e-mail: csedu.secretariat@insticc.org