制造企业供应链管理语义知识三元组数据集

该数据集给出大型制造企业供应链业务流程管理事件论元实体知识和事理逻辑关系知识，包括管理对象、行业、业务流程问题、业务管理解决方法等，为相关供应链协同知识查询提供知识支持。总共有14334个三元组。而且对于每个三元组的实体都有其对应的类型。文件中的数据格式是典型的三元组，是结构化数据，可直接导入neo4j知识库中进行持久化存储。并且支持下游的一些应用。数据文件为Excel表格，总计1个数据文件，数据量共668KB。This dataset provides knowledge of event argument entities and causal logical relationships for supply chain business process management in large manufacturing enterprises, covering management objects, industries, business process problems, business management solutions and other contents, and offers knowledge support for relevant supply chain collaboration knowledge queries. It contains a total of 14,334 triples, and each entity in the triples has its corresponding type. The data in the file adopts a typical triple format as structured data, which can be directly imported into the Neo4j knowledge base for persistent storage. Additionally, it supports various downstream applications. The dataset consists of one single Excel spreadsheet file with a total size of 668 KB.

搜集汇总

背景与挑战

背景概述

该数据集提供大型制造企业供应链业务流程管理的语义知识三元组，涵盖事件论元实体和事理逻辑关系，包括管理对象、行业、业务流程问题及解决方法等，旨在支持供应链协同知识查询。数据包含14334个结构化三元组，每个实体均标注类型，可直接导入neo4j知识库存储并用于下游应用，以Excel文件形式提供。