平行推理：一种基于ACP方法的虚实互动的知识协同框架

doi:10.11959/j.issn.2096-6652.202254

Abstract

Abstract:

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.

Key words: parallel system, knowledge graph, knowledge reasoning, knowledge collaboration, virtual real interaction

CLC Number:

TP301

Xiao WANG, Linyao YANG, Bin HU, et al. Parallel reasoning: a virtual-real interactive knowledge collaboration framework based on ACP approach[J]. Chinese Journal of Intelligent Science and Technology, 2023, 5(1): 69-82.

Figures/Tables 8

References 61

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