仿生知识图谱构建研究

Research on the Construction of Bionic Knowledge Graph

随着生物、光电等仿生相关学科的发展,仿生学的研究领域正在逐步扩展,仿生研究者对仿生知识预测等应用需求也在增加。然而,仿生学各领域间缺乏知识共享与技术复用,已成为仿生发展的阻碍,因此需要应对仿生领域知识管理需求,降低仿生研究的复杂度。为此,在分析、调研仿生数据特点与知识图谱技术后,针对仿生领域特点设计核心构建步骤,提出仿生领域知识图谱的构建框架。实验表明,该知识图谱构建流程的模型具有优良性能,证明了仿生知识图谱可集成、表示和管理仿生技术,能适应仿生领域的任务场景。

With the development of bionics related disciplines such as biology and optoelectronics,the research field of bionics is gradually expanding,and bionics researchers′demand for bionics knowledge prediction and other applications is also increasing.However,the lack of knowledge sharing and technology reuse among various fields of bionics has become an obstacle to the development of bionics.Therefore,it is necessary to deal with the requirements of knowledge management in the field of bionics and reduce the complexity of bionics research.After analyzing and investigating the characteristics of bionic data and knowledge graph technology,the construction framework of knowledge graph in bionic field is proposed according to the core construction steps of bionic field characteristics.The experiment shows that the established knowledge graph construction process model has excellent performance,which proves that the bionic knowledge graph can integrate,represent and manage the bionic technology,and can adapt to the task scenes in the bionic field.