Hybrid-patent classification based on patent-network analysis

Journal of the American Society for Information Science and Technology

Volumn 62, Issue 2, 2011, Pages 246-256

  Liu, Duen Ren ^a   Shih, Meng Jung ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

CLASS PREDICTION; CLASSIFICATION APPROACH; CLASSIFICATION METHODS; COMPETITIVE ADVANTAGE; CONTENT-BASED; CONVENTIONAL CLASSIFICATION METHODS; CONVENTIONAL METHODS; CRITICAL PARTS; DATA SETS; HYBRID APPROACH; INDUSTRIAL ANALYSIS; K-NEAREST NEIGHBOR CLASSIFIER; NETWORK ANALYSIS; NETWORK-BASED; NETWORK-BASED APPROACH; PATENT CLASSIFICATIONS; PATENT DOCUMENTS; PATENT MANAGEMENT; PATENT NETWORK; U.S. PATENT AND TRADEMARK OFFICES;

COMBINES; COMPETITION; DATA PROCESSING; ELECTRIC NETWORK ANALYSIS; METADATA; STATISTICAL TESTS;

PATENTS AND INVENTIONS;

EID: 78951494372     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.21459     Document Type: Article

References (21)

1. Alani, H., Dasmahapatra, S., O'Hara, K., &, Shadbolt, N., (2003). Identifying communities of practice through ontology network analysis. IEEE Intelligent Systems, 18 (2), 18-25.
2. Chen, L., Tokuda, N., &, Adachi, H., (2003). A patent document retrieval system addressing both semantic and syntactic properties. In Proceedings of the Association for Computational Linguistics Workshop on Patent Corpus Proceeding (PATENT '03) (pp. 1-6). Morristown, NJ: Association for Computational Linguistics.
3. Fall, C.J., Torcsvari, A., Benzineb, K., &, Karetka, G., (2003). Automated categorization in the international patent classification. SIGIR Forum, 37 (1), 10-25.
4. Fall, C.J., Torcsvari, A., Benzineb, K., &, Karetka, G., (2004). Automated categorization of German-language patent documents. Expert Systems with Applications, 26 (2), 269-277.
5. Guan, J.C., &, Gao, X., (2009). Exploring the h-index at patent level. Journal of the American Society for Information Science and Technology, 60 (1), 35-40.
6. He, C., &, Loh, H.T., (2008). Grouping of TRIZ Inventive Principles to facilitate automatic patent classification. Expert Systems with Applications, 34 (1), 788-795.
7. He, C., &, Loh, H.T., (2010). Pattern-oriented associative rule-based patent classification. Expert Systems with Applications, 37 (3), 2395-2404.
8. Kim, J.H., &, Choi, K.S., (2007). Patent document categorization based on semantic structural information. Information Processing & Management, 43 (5), 1200-1215.
9. Kohonen, T., Kaski, S., Lagus, K., Salojavi, J., Honkela, J., &, Paatetro, V., et al. (2000). Self organization of a massive document collection. IEEE Transactions on Neural Networks, 11 (3), 574-585.
10. Lai, K.K., &, Wu, S.J., (2005). Using the patent co-citation approach to establish a new patent classification system. Information Processing & Management, 41 (2), 313-330.
11. Larkey, L.S., (1999). A patent search and classification system. In Proceedings of the Fourth ACM Conference on Digital Libraries (pp. 179-183). New York: ACM Press.
12. Li, X., Chen, H.C., Zhang, Z., &, Li, J., (2007). Automatic patent classification using citation network information: An experimental study in nanotechnology. In Proceedings of the Seventh ACM/IEEE-CS Joint Conference on Digital Libraries (pp. 419-427). New York: ACM Press.
13. Loh, H.T., He, C., &, Shen, L., (2006). Automatic classification of patent documents for TRIZ users. World Patent Information, 28 (1), 6-13.
14. O'Hara, K., Alani, H., &, Shadbolt, N., (2002). Identifying communities of practice: Analysing ontologies as network to support community recognition. In Proceeding of the International Federation for Information Processing Conference, World Computer Congress on Information Systems: The E-Business Challenge (IFIP) (pp. 89-102). Laxenburg, Austria: International Federation for Information Processing.
15. Richter, G., &, MacFarlane, A., (2005). The impact of metadata on the accuracy of automated patent classification. World Patent Information, 27 (1), 13-26.
16. Salton, G., &, Buckley, C., (1988). Term-weighting approaches in automatic text retrieval. Information Processing & Management, 24 (5), 513-523.
17. Su, F.P., Lai, K.K., Sharma, R.R.K., &, Kuo, T.H., (2009). Patent priority network: Linking patent portfolio to strategic goals. Journal of the American Society for Information Science and Technology, 60 (11), 2353-2361.
18. Trappey, A.J.C., Hsu, F.C., Trappey, C.V., &, Lin, C.-I., (2006). Development of a patent document classification and search platform using a back-propagation network. Expert Systems with Applications, 31 (4), 755-765.
19. van Rijsbergen, C.J., (1979). Information retrieval (2nd ed.). London: Butterworths.
20. Yang, Y., (1994). Expert network: Effective and efficient learning from human decisions in text categorization and retrieval. In, W.B. Croft, &, C.J. van Rijsbergen, (Eds.), Proceedings of the 17th annual International Association for Computing Machinery's Special Interest Group on Information Retrieval Conference on Research and Development in Information Retrieval (pp. 13-22). New York: ACM Press.
21. Yuan, Y.C., Carboni, I., &, Ehrlich, K., (2010). The impact of awareness and accessibility on expertise retrieval: A multilevel network perspective. Journal of the American Society for Information Science and Technology, 61 (4), 700-714.