Ontology-based multi-label classification of economic articles

Computer Science and Information Systems

Volumn 8, Issue 1, 2011, Pages 101-119

  Vogrinčič, Sergeja ^a   Bosnić, Zoran ^b  

^a JO EF STEFAN INSTITUTE   (Slovenia)

^b UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

Document classification; Economics; Machine learning; Multi label classification; Ontology; Text categorization

Indexed keywords

EID: 79251628147     PISSN: 18200214     EISSN: None     Source Type: Journal    
DOI: 10.2298/CSIS100420034V     Document Type: Article

References (37)

1. Tsoumakas, G., Katakis, I., Vlahavas, I.: Mining Multi-label Data. In: Maimon, O., Rokach, L. (eds.) Data Mining and Knowledge Discovery Handbook, 2nd edition, Springer, Heidelberg. (2010)
2. Noy, N. F., McGuinness, D. L.: Ontology Development 101: A Guide to Creating Your First Ontology. Knowledge Systems, AI Laboratory, Stanford University, No. KSL-01-05. (2001)
3. Blomqvist, E.: Fully Automatic Construction of Enterprise Ontologies Using Design Patterns: Initial Method and First Experiences. Lecture Notes in Computer Science, Vol. 3761. Springer-Verlag, Berlin-Heidelberg, 1314-1329. (2005)
4. Stanford Center for Biomedical Informatics Research: Protégé [Online]. Available: http://protege.stanford.edu/ (current March 2010)
5. Sure, Y., Angele J., Staab, S.: OntoEdit: Guiding Ontology Development by Methodology and Inferencing. In: Proceedings of the Confederated International Conferences on the Move to Meaningful Internet Systems CoopIS DOA and ODBASE 2002, Lecture Notes in Computer Science, Vol. 2519. Springer-Verlag, 1205-1222. (2002)
6. Farquhar, A., Fikes, R., Rice, J.: Tools For Assembling Modular Ontologies in Ontolingua. In: Proceedings of 14th American Association for Artificial Intelligence Conference (AAAI-97). AAAI/MIT Press. Menlo Park, CA, 436-461. (1997)
7. StanfordUniversity:Chimaera[Online].Available:http://www-ksl.stanford.edu/software/chimaera/ (current March 2010)
8. Fortuna, B., Grobelnik, M., Mladenić, D.: Semi-automatic Data-driven Ontology Construction System. In: Proceedings of the 9th International multi-conference Information Society IS-2006, Bohanec, M. et al. (eds.), Ljubljana, 223-226. (2006)
9. Fortuna, B., Grobelnik, M., Mladenić, D.: OntoGen: Semi-automatic Ontology Editor [Online]. Available: http://ontogen.ijs.si/ (current March 2010)
10. Zuniga, G. L.: An Ontology of Economic Objects. American Journal of Economics and Sociology, Vol. 2, No. 58, 299-312. (1999)
11. Siricharoen, W. V., Puttitanun, T.: Creating Ontology Chart Using Economy Domain Ontologies. International Journal of Digital Content Technology and its Applications, Vol. 3, No. 3, 74-80. (2009)
12. Mäki, U.: The Economic World View: Studies in the Ontology of Economics. Cambridge University Press, UK. (2001)
13. Fullbrook, E.: Ontology and Economics: Tony Lawson and His Critics. Routledge, Abingdon, UK. (2009)
14. Tsoumakas, G., Katakis, I.: Multi-label Classification: An Overview. International Journal of Data Warehousing and Mining, Vol. 3, No. 3, 1-13. (2007)
15. Vembu, S., Gärtner, T.: Label Ranking Algorithms: A Survey. In Fürnkranz, J., Hüllermeier, E. (eds.): Preference Learning. Springer-Verlag. (to appear 2010)
16. Yang, S., Kim, S.-K., Yong M. R.: Semantic Home Photo Categorization. In: Circuits and Systems for Video Technology, IEEE Transactions on, Vol. 17, No. 3, 324-335. (2007)
17. Qi, G. J., Hua, X. S., Rui, Y., Tang, J., Mei, T., Zhang, H. J.: Correlative Multi-label Video Annotation. In: MULTIMEDIA'07: Proceedings of the 15th international conference on Multimedia, New York, USA, 17-26. (2007)
18. Zhang M.-L., Zhou Z.-H.: ML-kNN: A Lazy Learning Approach to Multi-Label Learning. Pattern Recognition, Vol. 40, No. 7, 2038-2048. (2007)
19. Li, T., Ogihara, M.: Detecting Emotion in Music. In: Proceedings of the International Symposium on Music Information Retrieval, Washington D.C., USA, 239-240. (2003)
20. Schietgat, L., Blockeel, H., Struyf, J., Džeroski, S., Clare, A.: Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics. Lecture Notes in Computer Science, LNAI, Vol. 4213, 18-29. (2006)
21. Elisseeff, A., Weston, J.: A Kernel Method for Multi-labeled Classification. In: Advances in Neural Information Processing Systems 14, 681-687. (2002)
22. Clare, A., King, R. D.: Knowledge Discovery in Multi-label Phenotype Data. In: Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD 2001), Freiburg, Germany, 42-53. (2001)
23. Schapire, R. E., Singer, Y.: Boostexter: A Boosting-based System for Text Categorization. Machine Learning, Vol. 29, No. 2/3, 135-168. (2000)
24. McCallum, A.: Multi-label Text Classification with a Mixture Model Trained by EM. In: Working Notes of the AAAI99 Workshop on Text Learning, Orlando, Florida. (1999)
25. Ueda, N., Saito, K.: Parametric Mixture Models for Multi-labeled Text. In: Becker, S., Thrun, S., Obermayer, K. (Eds.): Advances in Neural Information Processing Systems, Vol. 15, MIT Press, Cambridge, MA, 721-728. (2003)
26. Fortuna, B., Grobelnik, M., Mladenić, D.: OntoGen: Semi-automatic Ontology Editor. In: HCI International 2007, Beijing, China. Lecture Notes in Computer Science, Vol. 4558. Springer-Verlag, Berlin-Heidelberg, 309-318. (2007)
27. R Development Core Team: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. (2006).
28. Feinerer, I., Hornik, K., Meyer, D.: Text Mining Infrastructure in R. Journal of Statistical Software, Vol. 25, No. 5, 1-54. (2008)
29. Salton, G., Buckley, C.: Term-weighting approaches in automatic text retrieval. Information Processing & Management, Vol. 24, No. 5, 513-523. (1988)
30. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I. H.: The WEKA Data Mining Software: An Update. SIGKDD Explorations, Vol. 11, Issue 1, 10-18. (2009)
31. Christiannini, N., Shawe-Taylor, J.: Support Vector Machines and Other Kernel-Based Learning Methods, Cambridge University Press. (2000)
32. Breiman, L., Friedman, J. H., Olshen, R. A., Stone, C. J.: Classification and Regression Trees. Wadsworth International Group, Belmont CA. (1984)
33. Zhang M.-L., Zhou Z.-H.: Multi-label Neural Network with Applications to Functional Genomics and Text Categorization. IEEE Transactions on Knowledge and Data Engineering, Vol. 18, No.10, 1338-1351. (2006)
34. Tsoumakas, G., Mencia, L. E., Katakis, I., Park, S.-H., Fürnkranz J.: On the Combination of two Decompositive Multi-label Classification Methods. Workshop on Preference Learning, ECML PKDD 09, Hullermeir, E., Furnkranz, J. (Ed.), Bled, Slovenia, 114-133. (2009)
35. Tsoumakas, G., Katakis, I., Vlahavas, I.: Effective and Efficient Multilabel Classification in Domains with Large Number of Labels. In: Proceedings ECML/PKDD 2008 Workshop on Mining Multidimensional Data (MMD'08), Antwerp, Belgium. (2008)
36. Koller, D., Sahami, M.: Hierarchically classifying documents using very few words. In: Proceedings of the 14th International Conference on Machine Learning (ICML- 97), Nashville, 170-178. (1997)
37. Brinker, K., Hüllermeier, E.: Case-based Label Ranking. In: Machine Learning: ECML 2006, Vol. 4212, 566-573. (2006)