An artificial immune system approach to semantic document classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2787, Issue , 2003, Pages 136-146

  Greensmith, Julie ^a   Cayzer, Steve ^a  

^a HEWLETT PACKARD LABORATORIES   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

IMMUNE SYSTEM; INTERNET; SEMANTIC WEB; SEMANTICS;

ARTIFICIAL IMMUNE; ARTIFICIAL IMMUNE SYSTEM; CLASSIFICATION TASKS; CLASSIFIER SYSTEMS; DOCUMENT CLASSIFICATION; INTERNET BASED; SEMANTIC STRUCTURES; TAXONOMY MAPPINGS;

INFORMATION RETRIEVAL SYSTEMS;

EID: 35248855566     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45192-1_14     Document Type: Article

References (25)

1. R. Baeza-Yates and B. Ribeiro-Neto. Modern Information Retrieval ACM Press, New York, 1999.
2. Tim Berners-Lee, James Hendler, and Ora Lassila. The Semantic Web. Scientific American, 284(5):34-43, May 2001.
3. Daniel Billsus and Michael J. Pazzani. Learning collaborative information filters. In Proc. 15th International Conf. on Machine Learning, pages 46-54. Morgan Kaufmann, San Francisco, CA, 1998.
4. C.L. Blake and C.J. Merz. UCI repository of machine learning databases (available at http://www.ics.uci.edu/~mlearn/mlrepository.html), 1998.
5. Michelangelo Ceci, Floriana Esposito, Michele Lapi, and Donata Malerba. Automated classification of web documents into a web hierarchy. In Proceedings of the international US: IIPWM2003, pages 59-68, Zakopane, Poland, June 2003. Springer.
6. AnHai Doan, Pedro Domingos, and Alon Y. Halevy. Reconciling Schemas of disparate data Sources: A machine-learning approach. In SIGMOD Conference, 2001.
7. AA Freitas. Data Mining und Knowledge Discovery with Evolutionary Algorithms. Spinger-Verlag, Berlin, 2002. Page 34.
8. T. R. Gruber. Towards Principles for the Design of Ontologies Used for Knowledge Sharing. In N. Guarino and R. Poli, editors, Formal Ontology in Conceptual Analysis and Knowledge Representation, Deventer, The Netherlands, 1993. Kluwer Academic Publishers.
9. John E. Hunt and Denise E. Cooke. Learning using an artificial immune System. Journal of Network und Computer Applications, 19(2):189-212, 1996.
10. Charles A. Janeway, Paul Travers, Mark Walport, and Mark Shlomchik. Immunobiology The Immune System in Health and Disease. New York: Garland; Edinburgh: Churchill Livingstone., 2001.
11. Gaurav Marwah and Lois Boggess. Artificial immune systems for classification: Some issues. In Proceedings of the 1st International Conference on Artificial Immune Systems (IGARIS), pages 149-153, Canterbury, UK, September 2002.
12. Andrew McCallum. Rainbow (available at http://www-2.cs.cmu.edu/mccallum/bow/rainbow/), 1998.
13. A. Mdche and S. Staab. Measuring similarity between ontologies. In Proc. Of the European Conference on Knowledge Acquisition and Management - EKAW-2002, Madrid, Spain, October 1-4, October 2002. Springer.
14. T Morrison and U Aickelin. An artificial immune system as a recommender for web sites. In Proceedings of the 1st International Conference on Artificial Immune Systems (ICARIS), pages 161-169, Canterbury, UK, September 2002.
15. Nikolaos Nanas. An adaptive, evolutionary user profile for knowledge management. KMI-TR-114, http://kmi.open.ac.uk/publications/techreports-text.cfm.
16. M Neal. An artificial immune system for continuous analysis of time-varying data. In Proceedings of the 1st International Conference on Artificial Immune Systems (ICARIS), volume 1, pages 76-85, Canterbury, UK, September 2002.
17. Nasraoui O., Gonzalez F., and Dasgupta D. The fuzzy artificial immune system: Motivations, basic concepts, and application to clustering and web profiling. In IEEE International Conf. on Fuzzy Systems (IEEE-FUZZY 2002), pages 711-716, May 2002. Part of the World Congress on Computational Intelligence (WCCI) held in Honolulu, HI, USA, May 12-17, 2002.
18. M.F Porter. An algorithm for suffix stripping. Program, 14(3):130-137, 1980.
19. reprinted in Sparck Jones, Karen, and Peter Willet, 1997, Readings in Information Retrieval, San Francisco: Morgan Kaufmann, ISBN 1-55860-454-4.
20. P.W. Lord, R.D. Stevens, A. Brass, and C.A. Goble. Semantic similarity measures as tools for exploring the Gene Ontology. In Pacific Symposium on Biocomputing, pages 601-612, 2003.
21. J. Ross Quinlan. Induction of decision trees. Machine Learning, 1:81-106, 1986.
22. Erhard Rahm and Philip A. Bernstein. A survey of approaches to automatic schema matching. VLDB Journal: Very Large Data Bases, 10(4):334-350, 2001.
23. Fabrizio Sebastiani. Machine learning in automated text categorization. ACM Computing Surveys (CSUR), 34(1):1-47, 2002.
24. Jamie Twycross and Steve Cayzer. An immune-based approach to document classification. In Proceedings of the international IIS: IIPWM2003, pages 33-48, Zakopane, Poland, June 2003. Springer.
25. Andrew B. Watkins and Lois C. Boggess. A Resource Limited Artificial Immune Classifier. In Proceedings of Congress on Evolutionary Computation, pages 926-931. IEEE, May 2002. Part of the 2002 IEEE World Congress on Computational Intelligence held in Honolulu, HI, USA, May 12-17, 2002.