Abstract
Patent analysis and mining can excavate valuable information hidden in patent texts, and help enterprises to make correct decisions. As an important step in patent mining, whether patent semantic annotation is correct or not directly affects the results of mining. During the annotation of effect statements, whether manual or automatic, we need to use clue words to judge. This paper presents a construction method of clue words thesaurus in Chinese patents based on iteration and self-filtering, in order to improve the accuracy of effect statements’ annotation.
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References
Zhao, F., Jianhong, M.A.: Method of automatic annotation information for patents. J. Chongqing Univ. Posts Telecommun. (2015)
Wang, F., Lin, L.F., Yang, Z.: An ontology-based automatic semantic annotation approach for patent document retrieval in product innovation design. Appl. Mech. Mater. 446–447, 1581–1590 (2013)
Jiang, C.: Automatic annotation of bibliographical references in Chinese patent documents. New Technol. Libr. Inf. Serv. (2015)
Kim, Y., Ryu, J., Myaeng, S.H.: A patent retrieval method using semantic annotations. In: Kdir 2009 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Funchal, Madeira, Portugal, October, pp. 211–218. DBLP (2009)
He, Y., Li, Y., Meng, L.: A new method of creating patent technology-effect matrix based on semantic role labeling. In: International Conference on Identification, Information, and Knowledge in the Internet of Things, pp. 58–61. IEEE (2015)
Chen, Y.: Research of patent technology-effect matrix construction based on feature degree and lexical model. New Technol. Libr. Inf. Serv. (2012)
Chen, X., Deng, N.: A semi-supervised machine learning method for Chinese patent effect annotation. In: International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, pp. 243–250. IEEE Computer Society (2015)
Chen, X., Peng, Z., Zeng, C.: A co-training based method for Chinese patent semantic annotation. In: ACM International Conference on Information and Knowledge Management, pp. 2379–2382. ACM (2012)
Deng, N., Chen, X.: Automatically generation and evaluation of Stop words list for Chinese Patents. Telkomnika 13(4), 1414 (2015)
Deng, N., Chen, X., Li, D.: Intelligent recommendation of Chinese traditional medicine patents supporting new medicine’s R&D. J. Comput. Theor. Nanosci. 13, 5907–5913 (2016)
Acknowledgments
This paper was supported by Research Foundation for Advanced Talents of Hubei University of Technology (No. BSQD12131) and the Fundamental Research Funds for the Young Teachers’ Innovation project of Zhongnan University of Economics and Law (No. 2014147).
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Deng, N., Chen, X., Ruan, O., Wang, C., Ye, Z., Tian, J. (2018). The Construction Method of Clue Words Thesaurus in Chinese Patents Based on Iteration and Self-filtering. In: Barolli, L., Zhang, M., Wang, X. (eds) Advances in Internetworking, Data & Web Technologies. EIDWT 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-319-59463-7_12
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DOI: https://doi.org/10.1007/978-3-319-59463-7_12
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