Improving learning management through semantic web and social networks in e-learning environments

Expert Systems with Applications

Volumn 38, Issue 4, 2011, Pages 4181-4189

  Cuellar M P ^a   Delgado, M ^a   Pegalajar, M C ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

E Learning; Learning Management Systems; Ontologies; Social networks

Indexed keywords

COMMON FEATURES; CONTENT DISSEMINATION; E-LEARNING ENVIRONMENT; GROUP STRUCTURE; GROUP WORK; IMPROVING LEARNING; LEARNING MANAGEMENT SYSTEM; LEARNING PROCESS; LEARNING RESOURCE; MANAGEMENT PLATFORMS; MULTIMEDIA CONTENTS; RECOMMENDATION SYSTEMS; SOCIAL NETWORK ANALYSIS; SOCIAL NETWORKS; SOCIAL STRUCTURE; WEB COMMUNITY;

E-LEARNING; ELECTRIC NETWORK ANALYSIS; INTERNET; KNOWLEDGE MANAGEMENT; MANAGEMENT; MULTI AGENT SYSTEMS; NETWORK MANAGEMENT; ONTOLOGY; SEMANTIC WEB; SEMANTICS; SOCIAL NETWORKING (ONLINE); WORLD WIDE WEB;

LEARNING SYSTEMS;

EID: 78650700448     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.09.080     Document Type: Article

References (40)

1. Bhatia, M.; Gaur, P. (2008). Statistical approach for community mining in social networks. In IEEE international conference on service operations and logistics, and informatics (Vol. 1, pp. 207-211).
2. J. Breslin, and S. Decker The future of social networks on the internet: The need for semantics IEEE Internet Computing 11 6 2007 86 90
3. Brickley, D.; Miller, L. (2007). FOAF Specification. .
4. I. Cantador, and P. Castells Multilayered semantic social network modeling by ontology-based user profiles clustering: Application to collaborative filtering S. Staab, V. Svtek, EKAW Lecture notes in computer science Vol. 4248 2006 Springer 334 349
5. Cuéllar, M.; Delgado, M.; Pegalajar, M. (accepted for publication). A common framework for information sharing in e-learning management systems. Expert Systems With Applications.
6. W. de Nooy, A. Mrvar, and V. Batagelj Exploratory social network analysis with Pajek 2004 Cambridge University Press New York, NY, USA
7. Dietze, S.; Gugliotta, A.; Domingue, J. (2007). Towards adaptive e-learning applications based on semantic web services. In Proceedings of workshop TENCompetence open workshop on service oriented approaches and lifelong competence development infrastructures, Manchester, UK (pp. 75-83).
8. J. Dunkel, R. Bruns, and S. Ossowski Semantic e-learning agents supporting e-learning by semantic web and agent technologies 2006 Springer-Verlag pp. 237-244
9. M. Dzbor, A. Stutt, E. Motta, and T. Collins Representations for semantic learning webs: Semantic web technology in learning support Journal of Computer Assisted Learning 23 1 2007 69 82
10. Ehrlich, K.; Carboni, I. (2005). Inside social network analysis. Copyright 2005, IBM. All rights reserved. 05-10, IBM, Amherst, MA.
11. D. Ganley, and C. Lampe The ties that bind: Social network principles in online communities Decision Support Systems 47 3 2009 266 274
12. Hamasaki, M.; Matsuo, Y.; Nishimura, T.; Takeda, H. (2007). Ontology extraction using social network. In International workshop on semantic web for collaborative knowledge acquisition. p. poster.
13. R.A. Hanneman, Computer-assisted theory building: Modeling dynamic social systems 1988 Sage Publications, Inc. Thousand Oaks, CA, USA
14. Hanneman, R. A. (2005). Introduction to social network methods. [Published in digital form].
15. D. Hensen, and J. Neville Data mining in social networks Proceedings of workshop on dynamic social network modeling and analysis 2003 The National Academies Press Washington, DC, USA 289 302
16. Henze, N. (2005a). E-learning in the semantic web: The personal learning object readers. In Proceedings of second joint workshop on cognition and learning through media-communication for advanced e-learning 2005, Tokyo, Japan, 28th-30th September 2005. Japanese Society for Information and Systems in Education. .
17. Henze, N. (2005b). Personalization services for e-learning in the semantic web. In Proceedings of second international workshop on adaptive systems for web-based education: Tools and reusability, Amsterdam, The Netherlands, 18th-22nd July 2005.
18. W. Huang, D. Webster, D. Wood, and T. Ishaya An intelligent semantic e-learning framework using context-aware semantic web technologies British Journal of Educational Technology 37 3 2006 351 373
19. M. Huisman, and M. van Duijn Software for social network analysis P. Carrington, J. Scott, S. Wasserman, Models and methods in social network analysis 2005 Cambridge University Press New York
20. Izquierdo, L. R.; Hanneman, R. A. (2006). Introduction to the formal analysis of social networks using mathematica. [Published in digital form].
21. J. Jovanović, D. Gasević, C. Brooks, V. Devedzić, M. Hatala, and T. Eap Using semantic web technologies to analyze learning content IEEE Internet Computing 11 5 2007 45 53
22. J.J. Jung, and J. Euzenat Towards semantic social networks ESWC'07: Proceedings of the fourth European conference on the semantic web 2007 Springer-Verlag Berlin, Heidelberg 267 280
23. J.J. Jung, C.-M. Koo, and G.-S. Jo A divide-and-conquer approach to detecting latent community of practice from virtual organizations ICCIT'07: Proceedings of the 2007 international conference on convergence information technology 2007 IEEE Computer Society Washington, DC, USA 129 134
24. R. Kanawati, and M. Malek Computing social networks for information sharing: A case-based approach HCI 15 D. Schuler, Lecture notes in computer science Vol. 4564 2007 Springer 86 95
25. M. Makrehchi, and M.S. Kamel Learning social networks from web documents using support vector classifiers WI'06: Proceedings of the 2006 IEEE/WIC/ACM international conference on web intelligence 2006 IEEE Computer Society Washington, DC, USA 88 94
26. M. Makrehchi, and M. Kamel Learning social networks using multiple resampling method 2007 406 411
27. M.S. Martn, and C. Gutierrez Representing, querying and transforming social networks with rdf/sparql European semantic web conference Lecture Notes in Computer Science Vol. 5554 2009 Springer 293 307
28. A. Mayer Online social networks in economics Decision Support Systems 47 3 2009 169 184
29. Mitchell-Wong, J.; Kowalczyk, R.; Roshelova, A.; Joy, B.; Tsai, H. (2007). Opensocial: From social networks to social ecosystem. In Digital ecosystems and technologies conference.
30. M.E.J. Newman The structure and function of complex networks SIAM Review 45 2003 58
31. Nilsson, M.; Palmr, M.; Naeve, A. (2002). Semantic web metadata for e-learning - some architectural guidelines. In 11th conference on the world wide web (WWW'02), Honolulu (pp. 7-11).
32. H. Park Hyperlink network analysis: A new method for the study of social structure on the web Connections 25 1 2003 49 61
33. C. Ross, E.S. Orr, M. Sisic, J.M. Arseneault, M.G. Simmering, and R.R. Orr Personality and motivations associated with facebook use Computers in Human Behaviour 25 2 2009 578 586
34. S. Staab, P. Domingos, P. Mika, J. Golbeck, L. Ding, and T. Finin Social networks applied IEEE Intelligent Systems 20 1 2005 80 93
35. Thushar, A.; Thilagam, P. (2008). An rdf approach for discovering the relevant semantic associations in a social network. In 16th international conference on advanced computing and communications (pp. 214-220).
36. C. Torniai, J. Jovanovic, D. Gasevic, S. Bateman, and M. Hatala E-learning meets the social semantic web Proceedings of the 2008 eighth IEEE International conference on advanced learning technologies 2008 IEEE Computer Society Washington, DC, USA 389 393
37. A.C. Weaver, and B.B. Morrison Social networking IEEE Computer 41 2 2008 97 100
38. V. Yli-Luoma, and A.P. Naeve Towards a semantic e-learning theory by using a modelling approach British Journal of Educational Technology 37 3 2006 445 459
39. Zhdanova, A. V.; Predoiu, L.; Pellegrini, T.; Fensel, D. (2007). A social networking model of a web community. In Proceedings of the 10th International Symposium on Social Communication (pp. 537-541).
40. Zhou, C.; Chen, H.; Yu, T. (2008). Social network mashup: Ontology-based social network integration for statistic learning. In IEEE international conference on information reuse and integration (pp. 143-146).