Ontology-based Web mining model: Representations of user profiles

Proceedings - IEEE/WIC International Conference on Web Intelligence, WI 2003

Volumn , Issue , 2003, Pages 96-103

  Li, Y ^a   Zhong, N ^b  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^b MAEBASHI INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Artificial intelligence; Data communication; Data engineering; Data mining; Information retrieval; Ontologies; Software engineering; Systems engineering and theory; Web mining; XML

Indexed keywords

ARTIFICIAL INTELLIGENCE; INFORMATION RETRIEVAL; ONTOLOGY; SEARCH ENGINES; SOFTWARE ENGINEERING; WORLD WIDE WEB; XML;

DATA ENGINEERING; DATA-COMMUNICATION; ONTOLOGY-BASED WEB MINING; SYSTEMS ENGINEERING AND THEORIES; USER INFORMATION NEED; USER PROFILE; WEB MINING; WEB MINING MODELS;

DATA MINING;

EID: 4344629084     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WI.2003.1241179     Document Type: Conference Paper

References (38)

1. T. Abraham and O. de Vel, Investigative profiling with computer forensic log data and association rules, IEEE International Conference on Data Mining, Japan, 2002, 11-18.
2. R. Agrawal, T. Imielinski and A. Swami, Database mining: a performance perspective, IEEE Transactions on Knowledge and Data Engineering, 1993, 5(6):914-925.
3. R. Baenza-Yates and B. Ribeiro-Neto, Modern Information Retrieval, Addison Wesley, 1999.
4. M.-S. Chen, J. Han, and P. S. Yu, Data mining: an overview from a database perspective, IEEE Transactions on Knowledge and Data Engineering, 1996, 8(6):866-883.
5. U. Fayyad, G. Piatetsky-Shapiro, P. Smyth and R. Uthrusamy, eds., Advances in knowledge discovery and data mining, Menlo Park, California : AAAI Press/ The MIT Press, 1996.
6. D. A. Grossman and O. Frieder, Information retrieval algorithms and heuristics, Kluwer Academic Publishers, Boston, 1998.
7. J. W. Guan and D. A. Bell, Evidence theory and its applications, Volume 1, Studies in Computer Science and Artificial Intelligence 7, Elsevier, North-Holland, 1991.
8. J.W. Guan and D. A. Bell, A generalization of the Dempster-Shafer theory, Proceedings of IJCAI, 1993, 592-597.
9. D. Heckerman and E. J. Horvitz, The myth of modularity in rule-based systems for reasoning with uncertainty, Uncertainty in Artificial Intelligence 2, J. F. Lemmer and L. N. Kanal eds., North-Holland, 1988, 23-34.
10. D. A. Hull, and S. Roberston, The TREC-8 filtering track final report, in: TREC-8, 1999.
11. rd International Conference on Rough Sets and Current Trends in Computing, Malvern, PA, USA, 2002, 113-122.
12. N. R. Jennings, K. Sycara and M. Wooldridge, A Roadmap of agent research and development, Autonomous Agents and Multi-Agent Systems, 1998, 1(1):7-38.
13. R. Kruse, E. Schwecke and J. Heinsoln, Uncertainty and vagueness in knowledge based systems (Numerical Methods), Springer-Verlag, New York, 1991.
14. K. C. Lee, J. S. Kim, N. H. Chung and S. J. Kwon, Fussy cognitive map approach to web-mining inference amplification, Expert System with Applications, 2002, 22:197-211.
15. V. Lesser et al., BIG: an agent for resource-bounded information gathering and decision making, Artificial Intelligence, 2000, 118: 197-244.
16. V. Lesser and S. Zilberstein, Intelligence information gathering for decision models, Computer Science Technical Report TR-96-35, University of Massachusetts at Amherst, 1996.
17. Y. Li, Information fusion for intelligent agent-based information gathering, in N. Zhong et al., (eds.) Web Intelligence: research and development, LNAI 2198, Springer-Verlag, 2001, 433-437.
18. th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, China, 2003, 524-532.
19. rd International Conference on Rough Sets and Current Trends in Computing, Malvern, PA, USA, 2002, 493-496.
20. Y. Li, C. Zhang, and J. R. Swan, An information filtering model on the Web and its application in JobAgent, Knowledge-based Systems, 2000, 13(5): 285-296.
21. Y. Li, C. Zhang, and S. Zhang, Cooperative strategy for Web data mining and cleaning, to appear in Applied Artificial Intelligence, an International Journal, Vol 17, 2003.
22. Y. Li and N. Zhong, Web Mining Model and Its Applications for Information Gathering, accepted by Knowledge-Based Systems, Special Issue on WI, 2003.
23. rd International Conference on Rough Sets and Current Trends in Computing, Malvern, PA, USA, 2002, 14-32.
24. D. Liu and Y. Li, The interpretation of generalized evidence theory, Chinese Journal of Computers, 1997, Vol 20 No 2, pp. 158-164.
25. K. C. Lee, J. S. Kim, N. H. Chung and S. J. Kwon, Fussy cognitive map approach to web-mining inference amplification, Expert System with Applications, 2002, 22:197-211.
26. J. Mostafa, W. Lam and M. Palakal, A multilevel approach to intelligent information filtering: model, system, and evaluation, ACM Transactions on Information Systems, 1997, 15(4): 368-399.
27. S. K. Pal and V. Talwar, Web mining in soft computing framework: relevance, state of the art and future directions, IEEE Transactions on Neural Networks, 2002, 13(5): 1163-1177.
28. Z. Pawlak, Rough sets and intelligent data analysis, International J. of Information and Sciences, 2002, 147: 1-12.
29. rd International Conference on Rough Sets and Current Trends in Computing, Malvern, PA, USA, 2002, 1-9.
30. S. Robertson, and D. A. Hull, The TREC-9 filtering track final report, in: TREC-9, 2000.
31. M. Rosemann and P. Green, Developing a meta model for the Bunge-Wand-Weber ontological constructs, Information Systems, 2002, 27: 75-91.
32. T. A. Runkler and J. C. Bezdek, Web mining with relational clustering, to appear in International Journal of Approximate Reasoning.
33. G. Shafer, A mathematical theory of evidence, Princeton University Press, Princeton,NJ, 1976.
34. P. Smets and R. Kennes, The transferable belief model, Artificial Intelligence, 1994, 66: 191-234.
35. Y. Y. Yao, On modelling data mining with granular computing, Proceedings of COMPASAC, 2001, 638-643.
36. Y. Y. Yao and S. K. M. Wong, A decision theoretic framework for approximating concepts, International Journal of Man-machine Studies, 1992, 37: 793-809.
37. Y.Y. Yao, N. Zhong, J. Liu and S. Ohsuga, Web Intelligence (WI): research challenges and trends in the new information age, in Zhong et al., eds., Web Intelligence: research and development, LNAI 2198, Springer-Verlag, 2001, 1-17.
38. N. Zhong, J. Liu, Y. Y. Yao, In search of the wisdom Web, IEEE Computer, 2002, 35(11): 27-31.