A Knowledge Base for the maintenance of knowledge extracted from web data

Knowledge-Based Systems

Volumn 20, Issue 3, 2007, Pages 238-248

  Velásquez, Juan D ^a   Palade, Vasile ^b  

^a UNIVERSITY OF CHILE   (Chile)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Knowledge Base; User behavior; Web data

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER ARCHITECTURE; DATABASE SYSTEMS; KNOWLEDGE REPRESENTATION; VIRTUAL REALITY; WORLD WIDE WEB;

KNOWLEDGE BASE; USER BEHAVIOR; WEB DATA;

KNOWLEDGE BASED SYSTEMS;

EID: 33947245911     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2006.05.015     Document Type: Article

References (25)

1. Berendt B., and Spiliopoulou M. Analysis of navigation behavior in web sites integrating multiple information systems. The VLDB Journal 9 (2001) 56-75
2. Berry M., Dumais S., and O'Brien G. Using linear algebra for intelligent information retrival. SIAM Review 37 (1995) 573-595
3. Bonchi F., Giannotti F., Gozzi C., Manco G., Nanni M., Pedreschi D., Renso C., and Ruggieri S. Web log data warehousing and mining for intelligent web caching. Data and Knowledge Engineering 32 2 (2001) 165-189
4. Bonifati A., Cattaneo F., Ceri S., Fuggetta A., and Paraboschi S. Designing data marts for data warehouses. ACM Transactions on Software Engineering Methodology 4 (2001) 452-483
5. Cadoli M., and Donini F.M. A survey on knowledge compilation. AI Communications 10 3-4 (1997) 137-150
6. R.W. Cooley, Web usage mining: discovery and application of interesting patterns from web data, Dissertation for degree of Doctor of Philosophy. University of Minnesota, Faculty of the Graduate School, Minnesota, USA, 2000.
7. J. Debenham, Knowledge base maintenance through knowledge representation, in: Proceedings of the 12th International Conference on Database and Expert Systems Applications. München, Germany, September 2001, pp. 599-608.
8. V. Devedzic, Knowledge discovery and data mining in databases. Tech. rep., School of Business Administration, University of Belgrade, Yugoslavia, 2002.
9. Inmon W.H. Building the Data Warehouse. second ed. (1996), John Wiley and Sons, New York
10. M. Kilfoil, A. Ghorbani, W. Xing, Z. Lei, J. Lu, J. Zhang, X. Xu, Toward an adaptive web: the state of the art and science, in: Proceedings of the Annual Conference on Communication Networks and Services Research. Moncton, Canada, May 2003, pp. 119-130.
11. Kimball R., and Merx R. The Data Webhouse Toolkit (2000), Wiley Computer Publisher, New York
12. Kohonen T. Self-Organization and Associative Memory (1987), Springer-Verlag
13. Kosala R., and Blockeel H. Web mining research: a survey. SIGKDD Explorations: Newsletter of the Special Interest Group (SIG) on Knowledge Discovery and Data Mining 2 1 (2000) 1-15
14. Lu Z., Yao Y., and Zhong N. Web Intelligence (2003), Springer-Verlag, Berlin
15. Pal S.K., Talwar V., and Mitra P. Web mining in soft computing framework: relevance, state of the art and future directions. IEEE Transactions on Neural Networks 13 5 (2002) 1163-1177
16. Perkowitz M., and Etzioni O. Towards adaptive web sites: conceptual framework and case study. Artificial Intelligence 118 1-2 (2000) 245-275
17. Runkler T.A., and Bezdek J. Web mining with relational clustering. International Journal of Approximate Reasoning 32 2-3 (2003) 217-236
18. Srivastava J., Cooley R., Deshpande M., and Tan P. Web usage mining: discovery and applications of usage patterns from web data. SIGKDD Explorations 1 2 (2000) 12-23
19. Theodoridis S., and Koutroumbas K. Pattern Recognition (1999), Academic Press
20. J.D. Velásquez, A study on intelligent web sites: towards the new portals generation, Dissertation for degree of Doctor of Philosophy. University of Tokyo, Tokyo, Japan, 2004.
21. Velásquez J.D., Estévez P., Yasuda H., Aoki T., and Vera E. Intelligent web site: understanding the visitor behavior. Lecture Notes in Computer Science 3213 1 (2004) 140-147
22. J.D. Velásquez, R. Weber, H. Yasuda, T. Aoki, A methodology to find web site keywords, in: Proceedings of the IEEE International Conference on e-Technology, e-Commerce and e-Service. Taipei, Taiwan, March 2004, pp. 285-292.
23. J.D. Velásquez, H. Yasuda, T. Aoki, R. Weber, A generic data mart architecture to support web mining, in: Proceedings of the 4th International Conference on Data Mining. Río de Janeiro, Brazil, December 2003, pp. 389-399.
24. Velásquez J.D., Yasuda H., Aoki T., and Weber R. A new similarity measure to understand visitor behavior in a web site. IEICE Transactions on Information and Systems, Special Issues in Information Processing Technology for web utilization E87-D 2 (2004) 389-396
25. Velásquez J.D., Yasuda H., Aoki T., Weber R., and Vera E. Using self organizing feature maps to acquire knowledge about visitor behavior in a web site. Lecture Notes in Artificial Intelligence 2773 1 (2003) 951-958