Facilitating Scientometrics in Learning Analytics and Educational Data Mining – the LAK Dataset-Reference-Cited by-同舟云学术

Facilitating Scientometrics in Learning Analytics and Educational Data Mining – the LAK Dataset

Published:2016-12-06 Issue:3 Volume:8 Page:395-403
ISSN:2210-4968
Container-title:Semantic Web
language:
Short-container-title:SW

Author:

Dietze Stefan¹,Taibi Davide²,d’Aquin Mathieu³

Affiliation:

1. L3S Research Center, Appelstrasse 9a, 30167 Hannover, Germany

2. National Research Council of Italy, Institute for Educational Technologies, via Ugo La Malfa 153, 90146 Palermo, Italy

3. Knowledge Media Institute, The Open University, Walton Hall, Milton Keynes, UK, MK7 6AA

Publisher

IOS Press

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Reference10 articles.

1. SwetoDblp ontology of computer science publications;Aleman-Meza;Journal of Web Semantics: Science, Services and Agents on the World Wide Web,2007

2. M. d’Aquin, A. Adamou and S. Dietze, Assessing the educational linked data landscape, in: Proc. of ACM Web Science 2013 (WebSci2013), Paris, France, ACM, 2013, pp. 43–46, ISBN:978-1-4503-1889-1.

3. M. d’Aquin, S. Dietze, H. Drachsler, E. Herder and D. Taibi, in: Proc. of the LAK Data Challenge, Held at LAK 2013, Held at the Third Conference on Learning Analytics and Knowledge (LAK2013), Leuven, Belgium, CEUR Workshop Proceedings, Vol. 974, 2013.

4. H. Drachsler, S. Dietze, M. d’Aquin, E. Herder and D. Taibi, in: Proc. of the LAK Data Challenge 2014, Held at LAK 2014, the 4th Conference on Learning Analytics and Knowledge (LAK2014), Indianapolis, US, CEUR WS Proceedings, Vol. 1137, 2014.

5. B. Fetahu, S. Dietze, B.P. Nunes, M.A. Casanova, D. Taibi and W. Nejdl, A scalable approach for efficiently generating structured dataset topic profiles, in: The Semantic Web: Trends and Challenges, Proc. of the 11th Extended Semantic Web Conference (ESWC2014), V. Presutti, C. d’Amato, F. Gandon, M. d’Aquin, S. Staab and A. Tordai, eds, Lecture Notes in Computer Science, Vol. 8465, Springer International Publishing, 2014, pp. 519–534.

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