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作 者:王晓[1,2,3] 杨林瑶[2,4] 胡斌 侯家琛 WANG Xiao;YANG Linyao;HU Bin;HOU Jiachen(School of Artificial Intelligence,Anhui University,Hefei 230601,China;The State Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China;Qingdao Academy of Intelligent Industries,Qingdao 256200,China;Research Center for Graph Computing,Zhejiang Lab,Hangzhou 311100,China;Faculty of Innovation Engineering,Macao University of Science and Technology,Macao 999078,China)
机构地区:[1]安徽大学人工智能学院,安徽合肥230601 [2]中国科学院自动化研究所复杂系统管理与控制国家重点实验室,北京100190 [3]青岛智能产业技术研究院,山东青岛256200 [4]之江实验室图计算研究中心,浙江杭州311100 [5]澳门科技大学创新工程学院,中国澳门999078
出 处:《智能科学与技术学报》2023年第1期69-82,共14页Chinese Journal of Intelligent Science and Technology
基 金:国家重点研发计划资助项目(No.2018AAA0101502);国家电网有限公司总部科技项目:人在回路的大电网调控混合增强智能基础理论。
摘 要:知识图谱基于结构化三元组描述事实知识,能够有效刻画现实世界实体间的语义关系,已成为新一代人工智能的关键共性技术。总结了多源知识图谱的发展概况、典型应用以及知识协同存在的问题,提出了一种基于ACP方法的多源知识图谱知识协同框架——平行推理,该框架基于人工系统、计算实验和平行执行实现了多源知识的抽取、融合补全及无偏化应用。以电网低压减载场景为例,基于仿真试验验证了平行推理对解决复杂系统管控问题的有效性。Knowledge graph represents empirical knowledge based on structured triples,which can effectively describe the semantic relationships between real-world entities.Knowledge graph has become a critical standard technology of the new generation of artificial intelligence.The development,typical applications of multi-source knowledge graphs,and problems of knowledge collaboration were summarized.A multi-source knowledge graph collaboration framework based on ACP approach,i.e.,parallel reasoning,was proposed,which realized the extraction,fusion,completion,and unbiased application of multi-source heterogeneous knowledge based on artificial systems,computational experiments,and parallel execution.In the end,simulation experiments were conducted on power grid dispatching to evaluate the effectiveness of parallel learning for solving the management and control problems of complex systems.
关 键 词:平行系统 知识图谱 知识推理 知识协同 虚实互动
分 类 号:TP301[自动化与计算机技术—计算机系统结构]
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