摘要

提出一种基于P-集合和形式概念分析的中文领域本体学习方法.该方法以非结构化中文文本为数据源,通过引入P-集合理论获取形式背景,在获取形式背景的基础上,采用Godin算法构造概念格,并采用自定义映射规则实现概念格到中文领域本体的映射.通过学习生物和水领域文本,得到一个中文领域本体.实验结果表明,该方法能解决手工构建本体费时、费力的问题,且学习到的本体是形式化本体,能被更好地共享和重用.

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Pattern recognition and artificial intelligence in biometrics
Yanushkevich Svetlana N*; Hurley David; Wang Patrick S P
International Journal of Pattern Recognition and Artificial Intelligence, 2008, 22(3): 367-369.

5

被引

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Foreword to the special issue on recent advances on pattern recognition and artificial intelligence
Liu, Huawen*; Yin, Jianping; Luo, Xudong; Zhang, Shichao
Neural Computing & Applications, 2018, 29(1): 1-2.

25

被引

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Emergent artificial intelligence approaches for pattern recognition in speech and language processing
Guido Rodrigo Capobianco*; Pereira Jose Carlos; Willem Slaets Jan Frans
Computer Speech and Language, 2010, 24(3): 431-432.
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International journal of pattern recognition and artificial intelligence - Intelligent agent technology - Introduction
Liu JM*; Zhong N; Tang YY; Wang PSP
International Journal of Pattern Recognition and Artificial Intelligence, 2001, 15(3): 375-377.
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Partial Discharge Pattern-Recognition Method Based on Embedded Artificial Intelligence
Yan, Xuewen; Bai, Yuanyuan*; Zhang, Wenwen; Cheng, Chen; Liu, Jihong
Applied Sciences-Basel, 2023, 13(18): 10370.

1

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6

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16

被引

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Special section: Best papers of the international conference on pattern recognition and artificial intelligence (ICPRAI) 2022
El-Yacoubi, Mounim A.*; Pal, Umapada; Granger, Eric; Yuen, Pong Chi
Pattern Recognition Letters, 2024, 177: 150-150.