Ontology for e-learning: A bayesian approach

IEEE Transactions on Education

Volumn 53, Issue 2, 2010, Pages 223-233

  Colace, Francesco ^a   De Santo, Massimo ^a  

^a UNIVERSITY OF SALERNO   (Italy)

Author keywords

Adaptive assessment tool; Adaptive hypermedia system; Bayesian network; E learning; Learning technology; Ontology

Indexed keywords

ADAPTIVE HYPERMEDIA SYSTEM; ADAPTIVE HYPERMEDIA SYSTEMS; AMOUNT OF INFORMATION; ASSESSMENT PHASE; ASSESSMENT PROCESS; ASSESSMENT TOOL; BAYESIAN APPROACHES; EDUCATIONAL TECHNOLOGY; KNOWLEDGE DOMAINS; LEARNING CONTENTS; LEARNING PATHS; LEARNING PROCESS; LEARNING TECHNOLOGY; NEW APPROACHES; NOVEL ALGORITHM; ONTOLOGY BUILDING; REAL INTEREST; SCIENTIFIC LITERATURE; TECHNOLOGICAL IMPROVEMENTS;

BAYESIAN NETWORKS; DISTRIBUTED PARAMETER NETWORKS; E-LEARNING; HYPERMEDIA SYSTEMS; INFERENCE ENGINES; INTELLIGENT NETWORKS; LEARNING ALGORITHMS; LEARNING SYSTEMS; SPEECH RECOGNITION; TECHNOLOGY;

ONTOLOGY;

EID: 77951979290     PISSN: 00189359     EISSN: None     Source Type: Journal    
DOI: 10.1109/TE.2009.2012537     Document Type: Article

References (46)

1. R. Neches, R. E. Fikes, T. Finin, T. R. Gruber, T. Senator, and W. R. Swartout, "Enabling technology for knowledge sharing," AI Mag., vol.12, no.3, pp. 36-56, 1991.
2. S. E. Middleton, N. R. Shadbolt, and D. C. De Roure, "Ontological user profiling in recommender systems," ACM Trans. Inf. Syst., vol.22, no.1, pp. 54-88, 2004.
3. H. Alani, S. Dasmahapatra, K. O'Hara, and N. Shadbolt, "ONTOCOPI- Using ontology based network analysis to identify communities of practice," IEEE Intell. Syst., vol.18, no.2, pp. 18-25, 2003.
4. I.Keleberda, N. Lesna, S. Makovetskiy, and V. Terziyan, "Personalized distance learning based on multiagent ontological system," in Proc. IEEE Int. Conf. Adv. Learning Technol., 2004, pp. 777-779.
5. M. Gruninger and J. Lee, "Ontology applications and design," Commun. ACM, vol.45, no.2, pp. 42-47, 2002.
6. A. Perez and V. R. Benjamins, "Overview of knowledge sharing and reuse components: Ontologies and problem-solving methods," in Proc. IJCAI-99 Workshop on Ontologies and Problem-Solving Methods (KRR5), 1999, pp. 1.1-1.5.
7. M. Uschold and M. King, "Towards a methodology for building ontologies," in Proc. IJCAI-95 and Workshop on Basic Ontological Issues in Knowledge Sharing, , 1995, pp. 1-15.
8. R. P. Diaz, "A faceted approach to building ontologies," in Proc. IEEE IRI, 2003, pp. 458-465.
9. T. R. Gruber, "Towards principles for the design of ontologies used for knowledge sharing," Int. J. Human-Comput. Studies, vol. 43, no. 5/6, pp. 907-928, 1995.
10. N. Guarino and C. Welty, "Evaluating ontological decisions with OntoClean," Commun. ACM, vol.45, no.2, pp. 61-65, 2002.
11. M. Fernandez-Lopez, A. Gomez-Lopez, and A. Pazos-Sierra, "Building a chemical ontology using methontology and the ontology design environment," IEEE Intell. Syst., vol.14, no.1, pp. 37-46, 1999.
12. N. Noy and D. L. McGuinness, "Ontology Development 101: A guide to creating your first ontology," Stanford Knowledge Syst. Lab. Tech. Rep. KSL-01-05 and Stanford Med. Inform. Tech. Rep. SMI-2001-10880, 2001.
13. S. Bechhofer, I. Horrocks, P. Patel-Schneider, and S. Tessaris, "A proposal for a description logic interface," in Proc. Int.Workshop Description Logics, 1999, pp. 33-36.
14. A. Maedche and S. Staab, "Mining ontologies from text," in Proc. 12th Eur. Workshop on Knowledge Acquisition, Modeling and Manage., 2000, vol.1937, Lecture Notes in Computer Science, pp. 189-202.
15. A. Doan, J. Madhavan, P. Domingos, and A. Y. Halevy, "Learning to map between ontologies on the semanticWeb," in Proc. 11th Int. Conf. World Wide Web, 2002, pp. 662-673.
16. A. Doan, J. Madhavan, P. Domingos, and A. Y. Halevy, "Ontology matching: A machine learning approach," in Handbook on Ontologies. Berlin, Germany: Springer, 2004, pp. 385-404.
17. A. Maedche and S. Staab, "Ontology learning for the semanticWeb," IEEE Intell. Syst. (Special Issue on the Semantic Web), vol.16, no.2, pp. 72-79, 2001.
18. A. Maedche and S. Staab, "Ontology learning," in Handbook on Ontologies. Berlin, Germany: Springer, 2004, pp. 173-190.
19. A. Faatz and R. Steinmetz, "Ontology enrichment evaluation," in Proc. EKAW 2004, 2004, pp. 497-498.
20. G. Bisson and C. Nedellec, "Designing clustering methods for ontology building: The Mo'K workbench," in Proc. 14th Eur. Conf. Artif. Intell. Workshop Ontology Learning, S. Staab, A. Maedche, C. Nedellec, and P. WiemerHasting, Eds., 2000, pp. 201-209.
21. J. Kay, W. T. Niu, and D. J. Carmichael, "ONCOR: Ontology- and evidence-based context reasoner," in Proc. 12th Int. Conf. Intell. User Interfaces, 2007, pp. 290-293.
22. L. Aroyo, A. Cristea, and D. Dicheva, "A layered approach towards domain authoring support," in Proc. Int. Conf. Artif. Intell., 2002, pp. 1-8.
23. L. Aroyo and D. Dicheva, "Courseware authoring tasks ontology," in Proc. Int. Conf. Comput. in Educ., 2002, pp. 1319-1320.
24. J. Kay and A. Lum, "Ontologies for scrutable learner modelling in adaptive e-learning," in Proc. Int. Workshop on Appl. Semantic Web Technol. for E-Learning, 2004, pp. 1-10.
25. M. Wolpers and G. Grohmann, "PROLEARN: Technology-enhanced learning and knowledge distribution for the corporate world," Int. J. Knowledge and Learning, vol. 1, no. 1/2, pp. 44-61, 2005.
26. LORNET [Online]. Available: http://www.lornet.org/
27. IMS Global Learning Consortium [Online]. Available: http://www. imsglobal.org/
28. C. Conati, A. Gertner, and K. VanLehn, "Using Bayesian networks to manage uncertainty in student modeling," User Modeling and User- Adapted Interaction, vol.12, no.4, pp. 371-417, 2002.
29. C. Conati and G. Carenini, "Generating tailored examples to support learning via self-explanation," in Proc. 17th Int. Joint Conf. AI, 2001, pp. 1301-1306.
30. L. Zaitseva and C. Boule, "Student models in computer-based education," in Proc. 3rd IEEE Int. Conf. Adv. Learning Technol., 2003, p. 451.
31. A. S. Gertner, C. Conati, and K. VanLehn, "Procedural help in andes: Generating hints using a Bayesian network student model," in Proc. 15th Nat./10th Conf. Artif. Intell./Innovative Appl. Artif. Intell., 1998, pp. 106-111.
32. J.-D. Zapata-Rivera, "Supporting negotiated assessment using open student models," in Proc. 8th Int. Conf. User Modeling, 2001, vol.2109, Lecture Notes in Computer Science, pp. 295-297.
33. J.-D. Zapata-Rivera and J. E. Greer, "Interacting with inspectable Bayesian models," Int. J. Artif. Intell. in Educ., vol.14, no.2, pp. 127-163, 2004.
34. B. Chandrasekaran, J. R. Josephson, and R. Benjamins, "What are ontologies, and why do we need them?," IEEE Intell. Syst., vol.14, no.2, pp. 20-26, 1999.
35. R. Mizoguchi, "Ontological engineering: Foundation of the next generation knowledge processing," in Proc. 1st Int. Conf., Web Intell. and Intell. Agent Technol., Maebashi, Japan, 2001, pp. 44-57.
36. T. R. Gruber, "Translation approach to portable ontology specification," Knowledge Acquisition, vol.5, no.2, pp. 199-220, 1993.
37. A. Maedche and S. Staab, "Ontology learning for the semantic web," IEEE Intell. Syst., vol.16, no.2, pp. 72-79, 2001.
38. N. Guarino and P. Giareta, "Ontologies and knowledge bases: Towards a terminological clarification," in Towards Very Large Knowledge Bases, N. Mars, Ed. Amsterdam, The Netherlands: IOS Press, 1995, pp. 25-32.
39. M. Uschold and M. Gruninger, "Ontologies: Principles," Methods and Appl., Knowledge Eng. Rev., vol.12, no.2, pp. 203-222, 1992.
40. A. Gomez-Perez and O. Corcho, "Ontology languages for the semantic web," IEEE Intell. Syst., vol.17, no.1, pp. 54-60, 2002.
41. M. Uschold and R. Jasper, "A framework for understanding and classifying ontology applications," in Proc. IJCAI99 Workshop on Ontologies and Problem Solving Methods, Stockholm, Sweden, 1999, pp. 11-1-11-12.
42. D. Heckermann, "Bayesian networks for data mining," J. Knowledge Discovery and Data Mining, vol.1, no.1, pp. 79-199, 1997.
43. M. Singh and M. Valtorta, "Construction of Bayesian network structures from data: A brief survey and an efficient algorithm," Int. J. Approximate Reasoning, vol.12, pp. 111-131, 1995.
44. D. Heckerman, D. Geiger, and D. Chickering, "Learning Bayesian network: The combination of knowledge and statistical data," Machine Learning, vol.20, pp. 197-243, 1995, Springer Netherlands.
45. F. Jensen, An Introduction to Bayesian Networks. New York: Springer-Verlag, 1998.
46. "ACM computing curricula 2001 for computer science," ACM [Online]. Available: http://www.acm.com