Ontology-based automatic classification of Web documents

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

Volumn 4114 LNAI - II, Issue , 2006, Pages 690-700

  Song, Muhee ^a   Lim, Sooyeon ^a   Kang, Dongjin ^a   Lee, Sangjo ^a  

^a Kyungpook National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; HIERARCHICAL SYSTEMS; MACHINE COMPONENTS; RECORDS MANAGEMENT; TERMINOLOGY; VOCABULARY CONTROL;

DOCUMENT CLASSIFICATION; LEARNING PROCESS; MACHINE REASONING; ONTOLOGY;

WEBSITES;

EID: 33749557643     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-37275-2_86     Document Type: Conference Paper

References (17)

1. Hotho, A., Maedche, A., Staab, S.: Ontology-Based Text Document Clustering, Http://www.aifb.uni-karlsruhe.de/WBS
2. Apt, C., Damerau, F., Sholom, M.W.: Towards Language Independent Automated Learning Of Text Categorization Models, Proc. of the 17th annual international ACM-SIGIR (1994)
3. Jenkins, C., Jackson, M., Burden, P., Wallis, J.: Automatic RDF Metadata Generation for Resource Discovery, Proc. Of 8th International WWW Conference, Toronto (1999) 11-14
4. Lewis, D.D.: Evaluating and Optimizing Autonomous Text Classification Systems, in: E.A.Fox, P.Ingwersen, R.Fidel(Ed.), SIGIR'95: Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrival, New York(1995)
5. Kim, Jeuk, Kim, Hanjoon, Lee, Sanggoo: an Active Learning-based Method for Composing Training Document Set In Bayesian Text Classification Systems, Korea Information Science Society Journals, Volume 29 (2002).
6. Yang, J.P., Honavar, V., Miller, L.: Mobile Intelligent Agents for Document Classification and Retrieval: A Machine Learning Approach, in: Proceeding s of the European Symposium on Cybernetics and Systems Research, Vienna, Austria (1998) 707-712.
7. Hearst, M. A.: Support Vector Machines, IEEE Information Systems, 13(4), (1998) 18-28
8. Goevert, N., Lalmas, M., Fuhr, N.: A Probabilistic Description-Oriented Approach for Categorisiong Web Documents, Proc. Of the 8th ACM International Conference on Information and Knowledge Management (1999) 475-482
9. Shapire, R.E., Singhal, Y., Singhal, A.: Boosting and Rocchio Applied to Text Filtering, Proc. Of the 21th annual international ACM-SIGIR (1998)
10. Prabowo, Rudy, Jackson, Mike, Burden, Peter, Knoell, Heinz-Dieter: Ontology-Based Automatic Classification for the Web Documents Design, Implementation and Evaluation, Proc. Of the 3rd International Conference on Web Information Systems Engineering (2002)
11. Korfhage, R.R.: Information Storage and Retrieval, John Wiley and Sons Inc., USA (1997)
12. Salton, M.: Introduction to Modern Information Retrival, New York, Mcgraw-Hill, USA (1983)
13. Dumais, S.T., Chen, H.: Hierarchical Classification of Web Content, Proc of the 23rd Annual International ACM SIGIR, Arthens, Greece (2000)
14. Lim, S.Y., Song, M.H., Lee, S.J.: the Construction of Document Ontology and Its Application to Document Retrival, Proc. of the third Biennial International Conference on Advances in Information Systems (2004)
15. Joachims, T.: Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization, Proceedings of International Conference on Machine Learning, Nashvile, TN, USA (1997) 143-151
16. Ng, Y., Tang, J., Goodrich, M.: A Binary Categorization Approach for Classifying Multiplerecord Web Documents Using Application Ontologies and A Probabilistic Model, Proc. Of 7th International Conference on Database Systems for Advances Applications (2001) 58-65
17. Yang, Y.M., Liu, X.: A Re-examination of Text Categorization Methods, Proc. Of the 22th annual International ACM-SIGIR (1999)