Abstract
Recommender systems in e-learning have different goals as compared to those in other domains. This brings about new requirements such as the need for techniques that recommend learning resources beyond their similarity. It is therefore an ongoing challenge to develop recommender systems considering the particularities of e-learning scenarios like CROKODIL. CROKODIL is a platform supporting the collaborative acquisition and management of learning resources. It supports collaborative semantic tagging thereby forming a folksonomy. Research shows that additional semantic information in extended folksonomies can be used to enhance graph-based recommendations. In this paper, CROKODIL’s folksonomy is analysed, focusing on its hierarchical activity structure. Activities help learners structure their tasks and learning goals. AScore and AInheritScore are proposed approaches for recommending learning resources by exploiting the additional semantic information gained from activity structures. Results show that this additional semantic information is beneficial for recommending learning resources in an application scenario like CROKODIL.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Abel, F.: Contextualization, User Modeling and Personalization in the Social Web. PhD Thesis, Gottfried Wilhelm Leibniz Universitšt Hannover (2011)
Abel, F., Frank, M., Henze, N., Krause, D., Plappert, D., Siehndel, P.: GroupMe! - Where Semantic Web Meets Web 2.0. In: Aberer, K., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L.J.B., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudré-Mauroux, P. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 871–878. Springer, Heidelberg (2007)
Anjorin, M., Rensing, C., Bischoff, K., Bogner, C., Lehmann, L., Reger, A., Faltin, N., Steinacker, A., Lüdemann, A., Domínguez García, R.: CROKODIL - A Platform for Collaborative Resource-Based Learning. In: Kloos, C.D., Gillet, D., Crespo García, R.M., Wild, F., Wolpers, M. (eds.) EC-TEL 2011. LNCS, vol. 6964, pp. 29–42. Springer, Heidelberg (2011)
Anjorin, M., Rensing, C., Steinmetz, R.: Towards ranking in folksonomies for personalized recommender systems in e-learning. In: Proc. of the 2nd Workshop on Semantic Personalized Information Management: Retrieval and Recommendation. CEUR-WS, vol. 781, pp. 22–25 (October 2011)
Böhnstedt, D., Scholl, P., Rensing, C., Steinmetz, R.: Collaborative Semantic Tagging of Web Resources on the Basis of Individual Knowledge Networks. In: Houben, G.-J., McCalla, G., Pianesi, F., Zancanaro, M. (eds.) UMAP 2009. LNCS, vol. 5535, pp. 379–384. Springer, Heidelberg (2009)
Cantador, I., Konstas, I., Jose, J.: Categorising Social Tags to Improve Folksonomy-Based Recommendations. Web Semantics: Science, Services and Agents on the World Wide Web 9, 1–15 (2011)
Desrosiers, C., Karypis, G.: A Comprehensive Survey of Neighborhood-Based Recommendation Methods. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P. (eds.) Recommender Systems Handbook, pp. 107–144. Springer (2011)
Drachsler, H., Pecceu, D., Arts, T., Hutten, E., Rutledge, L., van Rosmalen, P., Hummel, H.G.K., Koper, R.: ReMashed – Recommendations for Mash-Up Personal Learning Environments. In: Cress, U., Dimitrova, V., Specht, M. (eds.) EC-TEL 2009. LNCS, vol. 5794, pp. 788–793. Springer, Heidelberg (2009)
Hannafin, M., Hill, J.: Resource-Based Learning. In: Handbook of Research on Educational Communications and Technology, pp. 525–536 (2008)
Hintze, J., Nelson, R.: Violin plots: A box plot-density trace synergism. The American Statistician 52(2), 181–184 (1998)
Hotho, A., Jäschke, R., Schmitz, C., Stumme, G.: BibSonomy: A Social Bookmark and Publication Sharing System. In: Proc. of the Conceptual Structures Tool Interoperability Workshop (2006)
Hotho, A., Jäschke, R., Schmitz, C., Stumme, G.: Information Retrieval in Folksonomies: Search and Ranking. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 411–426. Springer, Heidelberg (2006)
Jäschke, R., Marinho, L., Hotho, A., Schmidt-Thieme, L., Stumme, G.: Tag Recommendations in Folksonomies. In: Kok, J.N., Koronacki, J., Lopez de Mantaras, R., Matwin, S., Mladenič, D., Skowron, A. (eds.) PKDD 2007. LNCS (LNAI), vol. 4702, pp. 506–514. Springer, Heidelberg (2007)
Manning, C., Raghavan, P., Schÿtze, H.: Introduction to Information Retrieval. Cambridge University Press (2008)
Manouselis, N., Drachsler, H., Vuorikari, R., Hummel, H., Koper, R.: Recommender Systems in Technology Enhanced Learning. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P. (eds.) Recommender Systems Handbook, pp. 387–415. Springer (2011)
Peters, I.: Folksonomies: Indexing and Retrieval in Web 2.0. De Gruyter Saur (2010)
Rakes, G.: Using the Internet as a Tool in a Resource-Based Learning Environment. Educational Technology 36, 52–56 (1996)
Romero Zaldivar, V.A., Crespo García, R.M., Burgos, D., Kloos, C.D., Pardo, A.: Automatic Discovery of Complementary Learning Resources. In: Kloos, C.D., Gillet, D., Crespo García, R.M., Wild, F., Wolpers, M. (eds.) EC-TEL 2011. LNCS, vol. 6964, pp. 327–340. Springer, Heidelberg (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Anjorin, M., Rodenhausen, T., Domínguez García, R., Rensing, C. (2012). Exploiting Semantic Information for Graph-Based Recommendations of Learning Resources. In: Ravenscroft, A., Lindstaedt, S., Kloos, C.D., Hernández-Leo, D. (eds) 21st Century Learning for 21st Century Skills. EC-TEL 2012. Lecture Notes in Computer Science, vol 7563. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33263-0_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-33263-0_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33262-3
Online ISBN: 978-3-642-33263-0
eBook Packages: Computer ScienceComputer Science (R0)