Automatic extraction of meaning from the web

IEEE International Symposium on Information Theory - Proceedings

Volumn , Issue , 2006, Pages 2309-2313

  Cilibrasi, Rudi ^a   Vitanyi, Paul ^a  

^a CWI   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

DESIGNATED OBJECTS; LITERAL OBJECTS; SIMILARITY DISTANCE MEASURES;

FEATURE EXTRACTION; OBJECT RECOGNITION; PARAMETER ESTIMATION; SEMANTICS; USER INTERFACES;

WEB SERVICES;

EID: 39049152400     PISSN: 21578101     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIT.2006.261979     Document Type: Conference Paper

References (27)

1. C.H. Bennett, P. Gács, M. Li, P.M.B. Vitányi, W. Zurek, "Information Distance," IEEE Trans. Information Theory, 44:4(1998), pp. 1407-1423.
2. C.H. Bennett, M. Li, B. Ma, "Chain letters and evolutionary histories," Scientific American, June 2003, pp. 76-81.
3. C.J.C. Burges, "A tutorial on support vector machines for pattern recognition," Data Mining and Knowledge Discovery, 2:2(1998),pp. 121-167.
4. X. Chen, B. Francia, M. Li, B. McKinnon, A. Seker, "Shared information and program plagiarism detection," IEEE Trans. Inform. Th., 50:7(2004), pp. 1545-1551.
5. R. Cilibrasi, The CompLearn Toolkit, CWI, 2003, Available: http://www.complearn.org/
6. W. Chai and B. Vercoe. "Folk music classification using hidden Markov models," Proc. of International Conference on Artificial Intelligence, 2001.
7. R. Cilibrasi, P. Vitanyi, "Automatic Meaning Discovery Using Google: 100 Experiments in Learning WordNet Categories," 2004, Available: http://www.cwi.nl/~cilibrar/googlepaper/appendix.pdf
8. R. Cilibrasi, R. de Wolf, P. Vitanyi. "Algorithmic clustering of music based on string compression," Computer Music J., 28:4(2004), pp. 49-67.
9. R. Cilibrasi, P.M.B. Vitanyi, "Clustering by compression," IEEE Trans. Information Theory, 51:4(2005), pp. 1523-1545.
10. R. Cilibrasi, P. Vitanyi, "Automatic meaning discovery using Google," Manuscript, CWI, 2004; http://arxiv.org/abs/cs.CL/0412098
11. R. Dannenberg, B. Thom, and D. Watson. "A machine learning approach to musical style recognition," Proc. International Computer Music Conference, pp. 344-347, 1997.
12. "The basics of Google search," http://www.google.com/help/ basics.html.
13. M. Grimaldi, A. Kokaram, and P. Cunningham. "Classifying music by genre using the wavelet packet transform and a round-robin ensemble," Technical report TCD-CS-2002-64, Trinity College Dublin, 2002. Available: http://www.cs.tcd.ie/publications/tech-reports/reports.02/TCD-CS-2002-64.pdf
14. E. Keogh, S. Lonardi, and CA. Rtanamahatana, "Toward parameterfree data mining," In: Proc. 10th ACM SIGKDD Intn'l Conf. Knowledge Discovery and Data Mining, Seattle, Washington, USA, August 22-25, 2004, pp. 206-215.
15. A.N. Kolmogorov. "Three approaches to the quantitative definition of information," Problems Inform. Transmission, 1:1(1965), pp. 1-7.
16. A.N. Kolmogorov. "Combinatorial foundations of information theory and the calculus of probabilities," Russian Math. Surveys, 38:4(1983), pp. 29-40.
17. D. B. Lenat. "Cyc: A large-scale investment in knowledge infrastructure," Comm. ACM, 38:11(1995),pp. 33-38.
18. M. Li, J.H. Badger, X. Chen, S. Kwong, P. Kearney, and H. Zhang, "An information-based sequence distance and its application to whole mitochondrial genome phylogeny," Bioinformatics, 17:2(2001), pp. 149-154.
19. M. Li, X. Chen, X. Li, B. Ma, P. Vitanyi. "The similarity metric," IEEE Trans. Information Theory, 50:12(2004), pp. 3250-3264.
20. M. Li, P. M. B. Vitanyi. An Introduction to Kolmogorov Complexity and Its Applications, 2nd Ed., Springer-Verlag, New York, 1997.
21. S. L. Reed, D. B. Lenat. "Mapping ontologies into cyc," Proc. AAAI Conference 2002 Workshop on Ontologies for the Semantic Web, Edmonton, Canada. Available: http://citeseer.nj.nec.com/509238.html
22. D.H. Rumsfeld, "The digital revolution," originally published June 9, 2001, following a European trip. In: H. Seely, The Poetry of D.H. Rumsfeld, 2003, Available: http://slate.msn.com/id/2081042/
23. P. Scott. "Music classification using neural networks," 2001. Available: http://www.stanford.edu/class/ee373a/musicclassification.pdf
24. G.A. Miller et.al, WordNet, "A Lexical Database for the English Language," Cognitive Science Lab, Princeton University. Available: http://www.cogsci.princeton.edu/~wn
25. P. D. Turney, "Mining the Web for synonyms: PMI-IR versus LSA on TOEFL," Proc. of the Twelfth European Conference on Machine Learning (ECML2001), Freiburg, Germany, pp. 491-502, 2001.
26. G. Tzanetakis and P. Cook, "Music genre classification of audio signals," IEEE Transactions on Speech and Audio Processing, 10(5), pp. 293-302, 2002.
27. S. Wehner, "Analyzing network traffic and worms using compression," http://arxiv.org/abs/cs.CR/0504045