Automatic patent classification using citation network information: An experimental study in nanotechnology

Proceedings of the ACM International Conference on Digital Libraries

Volumn , Issue , 2007, Pages 419-427

  Li, Xin ^a   Chen, Hsinchun ^a   Zhang, Zhu ^a   Li, Jiexun ^a  

^a UNIVERSITY OF ARIZONA   (United States)

Author keywords

Citation network; Graph kernel; Kernel based method; Machine learning; Nanotechnology; Patent classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); LEARNING SYSTEMS; NANOTECHNOLOGY; PATENTS AND INVENTIONS;

CITATION NETWORK; GRAPH KERNEL; KERNEL-BASED METHOD; PATENT CLASSIFICATION;

DATA REDUCTION;

EID: 36348987776     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1255175.1255262     Document Type: Conference Paper

References (33)

1. Amsler, R. Application of citation-based automatic classication, University of Texas at Austin, Linguistics Research Center, Austin, TX, 1972.
2. Borgwardt, K.M., Ong, C.S., Schonauer, S., Vishwanathan, S.V.N., Smola, A.J. and Kriegel, H.P. Protein function prediction via graph kernels. Bioinformatics, 21, 2005, 147-156.
3. Brin, S. and Page, L. The anatomy of a large-scale hypertextual Web search engine. Computer Networks and ISDN Systems, 30 (1-7). 1998, 107-117.
4. Calado, P., Cristo, M., Goncalves, M.A., de Moura, E.S., Ribeiro-Neto, B. and Ziviani, N. Link-based similarity measures for the classification of Web documents. Journal of the American Society for Information Science and Technology, 57 (2). 2006, 208-221.
5. Chakrabarti, S., Dom, B. and Indyk, P., Enhanced hypertext categorization using hyperlinks. In SIGMOD, (Seattle, WA, 1998), 307-318.
6. Chang, C.-C. and Lin, C.-J. LIBSVM: a library for support vector machines. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm. 2001.
7. Fall, C.J., Torcsvari, A., Benzineb, K. and Karetka, G., Automated categorization in the International patent classification. In SIGIR Forum, (2003), 10-25.
8. Fall, C.J., Torcsvari, A., Fievet, P. and Karetka, G. Automated categorization of German-language patent documents. Expert Systems with Applications, 26 (2). 2004, 269-277.
9. Gartner, T. A survey of kernels for structured data. ACM SIGKDD Explorations Newsletter, 5 (1). 2003, 49-58.
10. Haussler, D. Convolution kernels on discrete structures Technical Report UCS-CRL-99-10, UC Santa Cruz, 1999.
11. Huang, Z., Chen, H., Chen, Z.-K. and Roco, M.C. International nanotechnology development in 2003: Country, institution, and technology field analysis based on USPTO patent database. Journal of Nanoparticale Research, 6 (4). 2004, 325-354.
12. Huang, Z., Chen, H., Yan, L. and Roco, M. Longitudinal nanotechnology development (1991-2002): National Science Foundation funding and its impact on patents. Journal of Nanoparticle Research, 7. 2005, 343-376.
13. Huang, Z., Chen, H., Yip, A., Ng, G., Guo, F., Chen, Z.-K. and Roco, M.C. Longitudinal patent analysis for Nanoscale Science and Engineering: Country, institution and technology field. Journal of Nanoparticale Research, 5. 2003, 333-363.
14. Hull, D., Ait-Mokhtar, S., Chuat, M., Eisele, A., Gaussier, E., Grefenstette, G., Isabelle, P., Samuelsson, C and Segond, F. Language technologies and patent search and classification. World Patent Information, 21 (3). 2001, 265-268.
15. Joachims, T., Cristianini, N. and Shawe-Taylor, J., Composite kernels for hypertext categorisation. In Proceedings of ICML-01, 18th International Conference on Machine Learning, (2001), 250-257.
16. Kessler, M.M. Bibliographic Coupling between Scientific Papers. American Documentation, 14(1). 1963, 10-&.
17. Kleinberg, J.M. Authoritative sources in a hyperlinked environment. Journal of the ACM, 46 (5). 1999, 604-632.
18. Koster, C.H.A., Seutter, M. and Beney, J., Classifying patent applications with winnow. In Proceedings of Benelearn 2001 conference, (2001).
19. Krier, M. and Zacea, F. Automatic categorisation applications at the European patent office. World Patent Information, 24 (3). 2002, 187-196.
20. Larkey, L. S., A patent search and classification system. In DL-99, 4th ACM Conference on Digital Libraries, (Berkeley, CA, 1999), 79-87.
21. Loh, H.T., He, C. and Shen, L. Automatic classification of patent documents for TRIZ users. World Patent Information, 28(1). 2006, 6-13.
22. McCallum, A.K. Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering. http://www.cs.cmu.edu/~mccallum/ bow. 1996.
23. Muller, K.R., Mika, S., Ratsch, G., Tsuda, K. and Scholkopf, B. An introduction to kernel-based learning algorithms. IEEE Transactions on Neural Networks, 12 (2). 2001, 181-201.
24. Oh, H.-J., Myaeng, S.H. and Lee, M.-H., A practical hypertext categorization method using links and incrementally available class information. In Proceedings of SIGIR-00, 23rd ACM International Conference on Research and Development in Information Retrieval, (2000), 264-271.
25. Richter, G. and MacFarlane, A. The impact of metadata on the accuracy of automated patent classification. World Patent Information, 27(1). 2005, 13-26.
26. Sebastiani, F. Machine learning in automated text categorization. ACM Computing Surveys, 34 (1). 2002, 1-47.
27. Small, H. Co-Citation in Scientific Literature - New Measure of Relationship between 2 Documents. Current Contents (7). 1974, 7-10.
28. Smith, H. Automation of patent classification. World Patent Information, 24 (4). 2002, 269-271.
29. Tan, Y. and Wang, J. A support vector machine with a hybrid kernel and minimal Vapnik-Chervonenkis dimension. IEEE Transactions on Knowledge and Data Engineering, 16 (4). 2004, 385-395.
30. Teichert, T. and Mittermayer, M.-A., Text mining for technology mointoring. In IEEE IEMC 2002-International Engineering Management Conference, (2002), 596-601.
31. USPTO U.S. Patent statistics chart calendar years 1963 - 2005. http://www.uspto.gov/web/offices/ac/ido/oeip/taf/us_stat.htm. 2005.
32. Yang, Y. An evaluation of statistical approaches to text categorization. Information Retrieval, 1. 1999, 69-90.
33. Yang, Y.M., Slattery, S. and Ghani, R. A study of approaches to hypertext categorization. Journal of Intelligent Information Systems, 18 (2-3). 2002, 219-241.