A preliminary study on few-shot knowledge reasoning mechanism based on three-way partial order structure
Few-shot knowledge reasoning, as a novel theory that attempts to combine few-shot learning with knowledge reasoning, is a challenging subject. This article intends to explore few-shot knowledge reasoning mechanism based on three-way partial order structure. First, from the perspective of granular co...
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| Published in | Information sciences Vol. 665; p. 120366 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
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Elsevier Inc
01.04.2024
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| Abstract | Few-shot knowledge reasoning, as a novel theory that attempts to combine few-shot learning with knowledge reasoning, is a challenging subject. This article intends to explore few-shot knowledge reasoning mechanism based on three-way partial order structure. First, from the perspective of granular computing, some knowledge reasoning operators are defined: granule splitting, granule combination, and granule isomorphism; then, based on the knowledge reasoning operators, the data augmentation operation and knowledge reasoning algorithm are presented; finally, some specific experiments on five datasets are conducted to further illustrate the few-shot knowledge reasoning algorithm. Experiment results show that the method proposed in this article can effectively realize knowledge reasoning based on small sample size data. It can be concluded that the proposed few-shot knowledge reasoning method is effective at some extent, and is expected to bring inspiration to the development of other concept-based knowledge reasoning models. |
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| AbstractList | Few-shot knowledge reasoning, as a novel theory that attempts to combine few-shot learning with knowledge reasoning, is a challenging subject. This article intends to explore few-shot knowledge reasoning mechanism based on three-way partial order structure. First, from the perspective of granular computing, some knowledge reasoning operators are defined: granule splitting, granule combination, and granule isomorphism; then, based on the knowledge reasoning operators, the data augmentation operation and knowledge reasoning algorithm are presented; finally, some specific experiments on five datasets are conducted to further illustrate the few-shot knowledge reasoning algorithm. Experiment results show that the method proposed in this article can effectively realize knowledge reasoning based on small sample size data. It can be concluded that the proposed few-shot knowledge reasoning method is effective at some extent, and is expected to bring inspiration to the development of other concept-based knowledge reasoning models. |
| ArticleNumber | 120366 |
| Author | Chen, Qiliang Hao, Tianyong Yan, Enliang Yu, Jianping Zhang, Tao |
| Author_xml | – sequence: 1 givenname: Enliang surname: Yan fullname: Yan, Enliang email: yanenliang@m.scnu.edu.cn organization: School of Artificial Intelligence, South China Normal University, Foshan 528225, China – sequence: 2 givenname: Tao orcidid: 0000-0003-0450-724X surname: Zhang fullname: Zhang, Tao email: zhtao@ysu.edu.cn organization: School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China – sequence: 3 givenname: Jianping surname: Yu fullname: Yu, Jianping email: yjp@ysu.edu.cn organization: School of Foreign Studies, Yanshan University, Qinhuangdao 066004, China – sequence: 4 givenname: Tianyong surname: Hao fullname: Hao, Tianyong email: haotianyong@scnu.edu.cn organization: School of Artificial Intelligence, South China Normal University, Foshan 528225, China – sequence: 5 givenname: Qiliang surname: Chen fullname: Chen, Qiliang email: chenqiliang@gzucm.edu.cn organization: School of Basic Medicine, Guangzhou University of Chinese Medicine, Guangzhou 510006, China |
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| Keywords | Partial order structure Three-way decision Granular computing Few-shot learning Concept-cognitive learning Knowledge reasoning |
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| SubjectTerms | Concept-cognitive learning Few-shot learning Granular computing Knowledge reasoning Partial order structure Three-way decision |
| Title | A preliminary study on few-shot knowledge reasoning mechanism based on three-way partial order structure |
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