Web taxonomy integration using support vector machines

Thirteenth International World Wide Web Conference Proceedings, WWW2004

Volumn , Issue , 2004, Pages 472-481

  Zhang, Dell ^a,b   Lee, Wee Sun ^a,b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b SINGAPORE MIT ALLIANCE   (Singapore)

Author keywords

Classification; Ontology Mapping; Semantic Web; Support Vector Machines; Taxonomy Integration; Transductive Learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); COMPUTER SCIENCE; DATA REDUCTION; DATABASE SYSTEMS; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; SEMANTICS; WORLD WIDE WEB;

ONTOLOGY MAPPING; SEMANTIC WEB; SUPPORT VECTOR MACHINES (SVM); TAXONOMY INTEGRATION; TRANSDUCTIVE LEARNING;

DECISION SUPPORT SYSTEMS;

EID: 19944412197     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/988672.988736     Document Type: Conference Paper

References (26)

1. Agrawal, R., Bayardo, R. and Srikant, R. Athena: Mining-based Interactive Management of Text Databases, in Proceedings of the 7th International Conference on Extending Database Technology (EDBT), Konstanz, Germany, 2000, 365-379.
2. Agrawal, R. and Srikant, R. On Integrating Catalogs. in Proceedings of the 10th International World Wide Web Conference (WWW), Hong Kong, 2001, 603-612.
3. Baeza-Yates, R. and Ribeiro-Neto, B. Modern Information Retrieval. Addison-Wesley, New York, NY, 1999.
4. Berners-Lee, T., Hendler, J. and Lassila, O. The Semantic Web, Scientific American, 2001.
5. Chakrabarti, S., Dom, B., Agrawal, R. and Raghavan, P. Using Taxonomy, Discriminants, and Sipatures for Navigating in Text Databases, in Proceedings of the 23rd International Conference on Very Large Data Bases (VLDB), Athens, Greece, 1997, 446-455.
6. Chalupsky, H. OntoMorph: A Translation System for Symbolic Knowledge, in Proceedings of the 7th International Conference on Principles of Knowledge Representation and Reasoning (KR), Breckenridge, CO, 2000, 471-482.
7. Cristianini, N. and Shawe-Taylor, J. An Introduction to Support Vector Machines. Cambridge University Press, Cambridge, UK, 2000.
8. Doan, A., Madhavan, J., Domingos, P. and Halevy, A. Learning to Map between Ontologies on the Semantic Web. in Proceedings of the 11th International World Wide Web Conference (WWW), Hawaii, USA, 2002.
9. Dumais, S. and Chen, H. Hierarchical Classification of Web Content. in Proceedings of the 23rd Annual International ACM SICIR Conference on Research and Development in Information Retrieval (SIGIR), Athens, Greece, 2000, 256-263.
10. Dumais, S., Platt, J., Heckerman, D. and Sahami, M. Inductive Learning Algorithms and Representations for Text Categorization, in Proceedings of the 7th ACM International Conference on Information and Knowledge Management (CIKM), Bethesda, MD, 1998, 148-155.
11. Fensel, D. Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce, Springer-Verlag, 2001.
12. Ichise, R., Takeda, H. and Honiden, S. Rule Induction for Concept Hierarchy Alignment, in Proceedings of the Workshop on Ontologies and Information Sharing at the 17th International Joint Conference on Artificial Intelligence (IJCAI), Seattle, WA, 2001, 26-29.
13. Joachims, T. Text Categorization with Support Vector Machines: Learning with Many Relevant Features, in Proceedings of the 10th European Conference on Machine Learning (ECML), Chemnitz, Germany, 1998, 137-142.
14. Joachims, T. Transductive Inference for Text Classification using Support Vector Machines, in Proceedings of the 16th International Conference on Machine Learning (ICML), Bled, Slovenia, 1999, 200-209.
15. Lacher, M.S. and Groh, G. Facilitating the Exchange of Explicit Knowledge through Ontology Mappings, in Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS), Key West, FL, 2001, 305-309.
16. McCallum, A. and Nigam, K. A Comparison of Event Models for Naive Bayes Text Classification, in AAAI-98 Workshop on Learning for Text Categorization, Madison, WI, 1998, 41-48.
17. McGuinness, D.L., Fikes, R., Rice, J. and Wilder, S. The Chimaera Ontology Environment, in Proceedings of the 17th National Conference on Artificial Intelligence (AAAI), Austin, TX, 2000, 1123-1124.
18. Mitchell, T. Machine Learning. McGraw Hill, Singapore, 1997.
19. Mitra, P., Wiederhold, G. and Jannink, J. Semi-automatic Integration of Knowledge Sources. in Proceedings of The 2nd International Conference on Information Fusion, Sunnyvale, CA, 1999.
20. Noy, N.F. and Musen, M.A. Anchor-PROMPT: Using Non-Local Context for Semantic Matching. in Proceedings of the Workshop on Ontologies and Information Sharing at the 17th International Joint Conference on Artificial Intelligence (IJCAI), Seattle, WA, 2001, 63-70.
21. Noy, N.F. and Musen, M.A. PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment, in Proceedings of the National Conference on Artificial Intelligence (AAAI), Austin, TX, 2000, 450-455.
22. Rocchio, J.J. Relevance Feedback in Information Retrieval, in Salton, G. ed. The SMART Retrieval System: Experiments in Automatic Document Processing, Prentice-Hall, 1971, 313-323.
23. Stumme, G. and Maedche, A. FCA-MERGE: Bottom-Up Merging of Ontologies, in Proceedings of the 17th International Joint Conference on Artificial Intelligence (IJCAI), Seattle, WA, 2001, 225-230.
24. Vapnik, V.N. The Nature of Statistical Learning Theory. Springer-Verlag, New York, NY, 2000.
25. Vapnik, V.N. Statistical Learning Theory. Wiley, New York, NY, 1998.
26. Yang, Y. and Liu, X. A Re-examination of Text Categorization Methods. in Proceedings of the 22nd ACM International Conference on Research and Development in Information Retrieval (SIGIR), Berkeley, CA, 1999, 42-49.