DTBM

该数据集被称为数字孪生基准模型（Digital Twin Benchmark Model），旨在评估语义知识图在数字孪生领域的性能表现。该模型的特点是包含大量具有灵活深度的包含关系查询。与其他如BSBM和LUBM等基准测试不同，数字孪生基准模型（DTBM）专注于数字孪生领域，并针对知识图谱扩展中遇到的独特挑战进行了专门设计。其任务是对数字孪生领域的知识图谱技术性能进行基准测试。This dataset, named the Digital Twin Benchmark Model (DTBM), is designed to evaluate the performance of semantic knowledge graphs in the digital twin domain. It features a large number of inclusion queries with flexible depths. Unlike other benchmarks such as BSBM and LUBM, DTBM focuses specifically on the digital twin domain and is specially developed to address the unique challenges arising from knowledge graph expansion. Its core objective is to conduct benchmark tests for the performance of knowledge graph technologies in the digital twin field.

搜集汇总

背景与挑战

背景概述

DTBM是一个数字孪生基准模型，用于生成代表工厂生产线数字孪生的语义知识图谱，专注于工业4.0场景。它包含核心模型和域分类法，模拟位置、资产和数据等元素，并提供脚本支持多种后端系统的基准测试，以评估可扩展性和性能。