Fuzzy ontologies-based user profiles applied to enhance e-learning activities

Soft Computing

Volumn 16, Issue 7, 2012, Pages 1129-1141

  Ferreira Satler, Mateus ^a   Romero, Francisco P ^a   Menendez Dominguez, Victor H ^b   Zapata, Alfredo ^b   Prieto, Manuel E ^a  

^a UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^b UNIVERSIDAD AUTÓNOMA DE YUCATÁN   (Mexico)

Author keywords

Fuzzy ontology; Learning object; Recommendation; User profile

Indexed keywords

DAILY ACTIVITY; DOMAIN ONTOLOGIES; E-LEARNING ENVIRONMENT; FUZZY ONTOLOGY; HUMAN ACTIVITIES; LEARNING OBJECT REPOSITORIES; LEARNING OBJECTS; LEARNING STRATEGY; RECOMMENDATION; TECHNOLOGICAL DEVELOPMENT; USER PROFILE;

E-LEARNING; EDUCATION; EXPERIMENTS;

RECOMMENDER SYSTEMS;

EID: 84862175243     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-011-0788-y     Document Type: Article

References (56)

1. Acampora G, Gaeta M, Loia V, Vasilakos AV (2010) Interoperable and adaptive fuzzy services for ambient intelligence applications. ACM Trans Auton Adapt Syst 5(2):1-26. doi:10.1145/1740600.1740604
2. Acampora G, Loia V, Gaeta M (2010) Exploring e-learning knowledge through ontological memetic agents. Comput Intell Mag 5(2):66-77
3. ADL (2004) Sharable content object reference model. http://www.adlnet.gov/scorm/. Accessed July 2010
4. Al-Khalifa HS, Davis HC (2006) The evolution of metadata from standards to semantics in e-learning applications. In: Proceedings of the seventeenth conference on hypertext and hypermedia, HYPERTEXT '06, ACM, New York, NY, USA, pp 69-72
5. Assche FV, Duval E, Massart D, Olmedilla D, Simon B, Sobernig S, Ternier S, Wild F (2006) Spinning interoperable applications for teaching and learning using the simple query interface. Educ Technol Soc Special Issue Interoperability Educ Syst 9: 2006
6. Berners-Lee T (1998) Semantic web road map. http://www.w3.org/DesignIssues/Semantic.htm. Accessed 23 Nov 2010
7. Broisin J, Vidal P, Meire M, Duval E (2005) Bridging the gap between learning management systems and learning object repositories: exploiting learning context information. In: Proceedings of the advanced industrial conference on telecommunications/service assurance with partial and intermittent resources conference/e-learning on telecommunications workshop. IEEE Computer Society, Washington, DC, pp 478-483
8. Brusilovsky P, Sosnovsky S, Yudelson M, Chavan G (2005) Interactive authoring support for adaptive educational systems. In: Proceedings of the 2005 conference on artificial intelligence in education: supporting learning through intelligent and socially informed technology. IOS Press, Amsterdam, pp 96-103
9. Burke R (2002) Hybrid recommender systems: Survey and experiments. User Model User Adapt Interact 12:331-370
10. Calegari S, Sanchez E (2008) Object-fuzzy concept network: an enrichment of ontologies in semantic information retrieval. J Am Soc Inf Sci Technol 59(13):1532-2890
11. Cao Y, Li Y (2007) An intelligent fuzzy-based recommendation system for consumer electronic products. Expert Syst Appl 33:230-240
12. Consortium IGL (2004) IMS content packaging. http://www.imsglobal.org/content/packaging. Accessed Jan 2010
13. Cross V, Cabello C (1995) A mathematical relationship between settheoretic and metric compatibility measures. In: International symposium on uncertainty modeling and analysis, p 169
14. Crotty A (2006) Would you like a LOMS with your ILMS? Converging the library and learning management systems. In: Proceedings of the VALA2006 13th biennial conference and exhibition. Victorian Association for Library Automation Inc., Victoria
15. Ferreira-Satler M, Romero FP, Menéndez VH, Zapata A, Prieto ME (2010) A fuzzy ontology approach to represent user profiles in e-learning environments. In: FUZZ-IEEE 2010 IEEE international conference on fuzzy systems-WCCI 2010 IEEE world congress on computational intelligence, Barcelona (Spain), pp 161-168
16. Fulantelli G, Gentile M, Taibi D, Allegra M (2008) The open learning object model to promote open educational resources. J Interact Media Educ 9:11
17. Garcés PJ, Olivas JA, Romero FP (2006) Concept-matching ir systems versus word-matching information retrieval systems: considering fuzzy interrelations for indexing web pages. J Am Soc Inf Sci Technol 57(4):564-576
18. Ghosh R, Dekhil M (2009) Discovering user profiles. In: Proceedings of the 18th international conference on world wide web, WWW '09. ACM, New York, pp 1233-1234
19. Hanani U, Shapira B, Shoval P (2001) Information filtering: Overview of issues, research and systems. User Model User Adapt Interact 11:203-259
20. Hoadley CM, Kilner PG (2005) Using technology to transform communities of practice into knowledge-building communities. ACM SIGGROUP Bull Special Issue Online Learn Commun 25:31-40
21. Hull DA (1996) Stemming algorithms: a case study for detailed evaluation. J Am Soc Inf Sci 47:70-84
22. IEEE-LTSC (2002) IEEE standard for learning object metadata. http://ltsc.ieee.org/wg12/files/LOM_1484_12_1_v1_Final_Draft.pdf. Accessed Jan 2010
23. Initiative DDCM (2008) DCMI metadata terms. http://www.dublincore.org/documents/dcmi-terms/. Accessed Jan 2010
24. Katifori A, Golemati M, Vassilakis C, Lepouras G, Halatsis C (2007) Creating an ontology for the user profile: method and applications. In: Proceedings of the first IEEE international conference on research challenges in information science (RCIS), pp 407-412
25. Korfhage RR (1997) Information storage and retrieval. Wiley, NY
26. Lee CS, Wang MH, Acampora G, Hsu CY, Hagras H (2010) Diet assessment based on type-2 fuzzy ontology and fuzzy markup language. Int J Intell Syst 25(12):1187-1216. doi:10.1002/int.20449
27. Lee CS, Wang MH, Acampora G, Loia V, Hsu CY (2009) Ontologybased intelligent fuzzy agent for diabetes application. In: IEEE IA. IEEE, Washington, DC, pp 16-22
28. Liu H, Singh P (2004) Conceptnet-a practical commonsense reasoning tool-kit. BT Technol J 22(4):211-226 (concept Net)
29. Looms T, Christensen C (2002) Emerging and enabling technologies for the design of learning object repositories. Adv Distributed Learn Initiat. http://xml.coverpages.org/ADLRepositoryTIR.pdf. Accessed Oct 2010
30. Maedche A, Staab S (2002) Measuring similarity between ontologies. In: Proceedings of the 13th international conference on knowledge engineering and knowledge management: ontologies and the semantic web. Springer, Germany, pp 251-263
31. McGuinness DL, van Harmelen F (2004) OWL web ontology language overview. Tech. Rep. REC-owl-features-20040210, W3C
32. Menendez V, Castellanos ME, Zapata A, Prieto M (2010) Modelo de asistencia para la generacion de objetos de aprendizaje a partir de recursos digitales. In: Prieto ME, Dodero JM, Villegas DO (eds) Simposio Pluridisciplinar sobre Diseno y Evaluacion de Contenidos Digitales Educativos (CCITA-SPDECE 2010), Cadiz, ESP, pp 151-157
33. Miller GA, Beckwith R, Fellbaum C, Gross D, Miller KJ (1990) Introduction to wordnet: an on-line lexical database. Int J Lexicogr 3(4):235-244
34. Mohan P (2004) Reusable online learning resources: problems, solutions and opportunities. In: Fourth IEEE international conference on advanced learning technologies, IEEE Computer Society, Joensuu, Finland, pp 904-905
35. Nikravesh M (2007) Concept-based search and questionnaire systems. In: Nikravesh M, Kacprzyk J, Zadeh L (eds) Forging new frontiers: fuzzy pioneers I. Studies in fuzziness and soft computing, vol 217. Springer, Berlin, pp 193-215
36. Ning H, Shihan D (2006) Structure-based ontology evaluation. In: ICEBE '06: proceedings of the IEEE international conference on e-business engineering. IEEE Computer Society, Washington, DC, pp 132-137
37. Olivas J, Rios S (2006) Three-dimensional representation of conceptual fuzzy relations. In: Larsen H, Pasi G, Ortiz-Arroyo D, Andreasen T, Christiansen H (eds) Flexible query answering systems. Lecture notes in computer science, vol 4027. Springer Berlin, pp 681-690
38. Olivas JA, Garcés PJ, Romero FP (2003) An application of the fis-crm model to the fiss metasearcher: using fuzzy synonymy and fuzzy generality for representing concepts in documents. Int J Approx Reason 34:201-209
39. Patwardhan S (2003) Incorporating dictionary and corpus information into a context vector measure of semantic relatedness. Master's thesis, University of Minnesota, Duluth, MN
40. Pedersen T, Patwardhan S, Michelizzi J (2004) Wordnet::similarity: measuring the relatedness of concepts. In: HLT-NAACL '04: demonstration papers at HLT-NAACL 2004 on XX. Association for Computational Linguistics, Boston, pp 38-41
41. Porcel C, Herrera-Viedma E (2010) Dealing with incomplete information in a fuzzy linguistic recommender system to disseminate information in university digital libraries. Knowl Based Syst 23:32-39
42. Porcel C, Moreno J, Herrera-Viedma E (2009) A multi-disciplinar recommender system to advice research resources in university digital libraries. Expert Syst Appl 36(10):12+520-12+528
43. Prieto ME, Menendez VH, Segura AA, Vidal CL (2008) A recommender system architecture for instructional engineering. In: Proceedings of the 1st world summit on the knowledge society: emerging technologies and information systems for the knowledge society, vol 5288. Springer, Athens, Greece, pp 314-321
44. Rodriguez M, Serra M, Cabot J, Guitart I (2006) Evolution of the teacher roles and figures in e-learning environments. In: Sixth international conference on advanced learning technologies. IEEE Computer Society, Kerkrade, pp 512-514
45. Saddik AE, Fischer S, Steinmetz R (2001) Reusability and adaptability of interactive resources in web-based educational systems. ACM J Educ Resour Comput 1(1es):4
46. Smith LA, Smith ET, Melder TF (2007) A taste of MERLOT: tutorial presentation. J Comput Small Coll 22:147-148
47. Ternier S, Verbert K, Parra G, Vandeputte B, Klerkx J, Duval E, Ordonez V, Ochoa X (2009) The Ariadne infrastructure for managing and storing metadata. IEEE Internet Comput 13:18-25
48. Tsai KH, Chiu TK, Lee MC, Wang TI (2006) A learning objects recommendation model based on the preference and ontological approaches. In: Proceedings of the sixth IEEE international conference on advanced learning technologies, ICALT '06. IEEE Computer Society, Washington, DC, pp 36-40
49. Versit-Consortium (1996) VCard specification. http://www.imc.org/pdi/. Accessed July 2010
50. Wang MH, Lee CS, Hsieh KL, Hsu CY, Acampora G, Chang CC (2010) Ontology-based multi-agents for intelligent healthcare applications. J Ambient Intell Humaniz Comput 1:111-131. doi: 10.1007/s12652-010-0011-5
51. Wiley D (2002) Connecting learning objects to instructional design theory: a definition, a metaphor, and a taxonomy. The Agency for Instructional Technology, Bloomington, IN, pp 3-23
52. Wolpers M, Memmel M, Klerkx J, Parra G, Vandeputte B, Duval E, Schirru R, Niemann K (2008) Bridging repositories to form the MACE experience. New Rev Inf Netw 14(2):102-116
53. Wolpers M, Memmel M, Stefaner M (2010) Supporting architecture education using the MACE system. Int J Technol Enhanc Learn 2:132-144
54. Zadeh LA (1975) Fuzzy logic and approximate reasoning. Synthese 30(3):407-428
55. Zhai J, Shen L, Zhou Z, Liang Y (2007) Fuzzy ontology model for knowledge management. In: International conference on intelligent systems and knowledge engineering (ISKE 2007), Chengdu, China. Fuzzy ontology representation model
56. Zhuhadar L, Nasraoui O (2008) Semantic information retrieval for personalized e-learning. In: Proceedings of international conference on tools with artificial intelligence, ICTAI, vol 1, pp 364-368