Based on topic maps, a preprocessing scheme using similarity comparision is presented and applied in knowledge management. Topic and occurrence-ofiented merging algorithm is also introduced to implement knowledge inte...Based on topic maps, a preprocessing scheme using similarity comparision is presented and applied in knowledge management. Topic and occurrence-ofiented merging algorithm is also introduced to implement knowledge integration for the sub-system. AnOm- nigator-supported example from an aeroaustic institute is utilised to validate the preprocessing method and the result indicates it can speed up the research schedule.展开更多
在人工智能驱动科学研究(AI for Science)的趋势下,农业领域也逐步加快人工智能技术的应用部署。基于BERTopic主题建模技术对农业人工智能基金资助项目进行主题挖掘,识别出9个核心主题,并进一步分析了各主题热度与国家间主题的差异,旨...在人工智能驱动科学研究(AI for Science)的趋势下,农业领域也逐步加快人工智能技术的应用部署。基于BERTopic主题建模技术对农业人工智能基金资助项目进行主题挖掘,识别出9个核心主题,并进一步分析了各主题热度与国家间主题的差异,旨在为科研人员提供农业人工智能的领域态势图谱,为政策制定者优化战略布局提供参考依据。研究发现:科技创新与生产需求双重驱动农业人工智能应用部署;农业人工智能项目呈现出分散化、多元多层次特点;国家间的主题差异由多重因素综合作用所致。未来应加强技术与实际需求的结合,推动跨学科合作与国际交流,构建开放、包容的全球农业人工智能创新生态。展开更多
文摘Based on topic maps, a preprocessing scheme using similarity comparision is presented and applied in knowledge management. Topic and occurrence-ofiented merging algorithm is also introduced to implement knowledge integration for the sub-system. AnOm- nigator-supported example from an aeroaustic institute is utilised to validate the preprocessing method and the result indicates it can speed up the research schedule.
文摘在人工智能驱动科学研究(AI for Science)的趋势下,农业领域也逐步加快人工智能技术的应用部署。基于BERTopic主题建模技术对农业人工智能基金资助项目进行主题挖掘,识别出9个核心主题,并进一步分析了各主题热度与国家间主题的差异,旨在为科研人员提供农业人工智能的领域态势图谱,为政策制定者优化战略布局提供参考依据。研究发现:科技创新与生产需求双重驱动农业人工智能应用部署;农业人工智能项目呈现出分散化、多元多层次特点;国家间的主题差异由多重因素综合作用所致。未来应加强技术与实际需求的结合,推动跨学科合作与国际交流,构建开放、包容的全球农业人工智能创新生态。
