Fujitsu/ManufacturingRCA_Knowledge_Dataset

# ManufacturingRCA_Knowledge_Dataset

## Dataset Summary
- This dataset is a structured knowledge graph constructed using Fujitsu Knowledge Graph enhanced RAG for Root Cause Analysis, one of Fujitsu's proprietary technologies.
- `ManufacturingRCA_doc.csv` (Trouble Tickets for Manufacturing Equipment) was used as the input document and converted into a knowledge graph.
- Because it is provided in Neo4j format, it can be easily visualized and can utilized for simple chat applications based on the knowledge graph, as well as for research and development of AI technologies.

## Repository Overview
| Name | Description |
| ----------- | ----------- |
| `ManufacturingRCA.zip` | Knowledge Graph for Root Cause Analysis constructed from `ManufacturingRCA_doc.csv` |
| `ManufacturingRCA_doc.csv` | Trouble Tickets for Manufacturing Equipment |

## How to Use the Data
Demo code for using this data is available at:
https://github.com/FujitsuResearch/Knowledge_Data/

## Publication
Tatsuya Kikuzuki, Akihiro Wada, Yoshihiro Okawa, and Masatoshi Ogawa, "Root Cause Analysis for Wireless Networks Using Causal Knowledge Graphs and an LLM," submitted for publication.

## License
CC-BY-4.0

## Contacts
Tatsuya Kikuzuki: kikuzuki{at}fujitsu.com

# 制造业根因分析知识库数据集（ManufacturingRCA_Knowledge_Dataset）

## 数据集概述
- 本数据集为结构化知识图谱，采用富士通（Fujitsu）专有技术之一——融合知识图谱的根因分析增强检索生成（RAG）构建而成。
- 本次以`ManufacturingRCA_doc.csv`（制造业设备故障工单）作为输入文档，将其转换为知识图谱。
- 由于该数据集以Neo4j格式提供，可轻松实现可视化，既可用于基于知识图谱的简易聊天应用开发，亦可用于人工智能技术的研发工作。

## 仓库概览
| 名称 | 描述 |
| --------------------- | ------------------------ |
| `ManufacturingRCA.zip` | 基于`ManufacturingRCA_doc.csv`构建的根因分析知识图谱 |
| `ManufacturingRCA_doc.csv` | 制造业设备故障工单 |

## 数据使用方法
本数据集的演示代码可通过以下链接获取：
https://github.com/FujitsuResearch/Knowledge_Data/

## 发表信息
菊月树达也（Tatsuya Kikuzuki）、和田明洋（Akihiro Wada）、冈川义博（Yoshihiro Okawa）及小川正俊（Masatoshi Ogawa），《基于因果知识图谱与大语言模型（LLM）的无线网络根因分析》，已提交待发表。

## 许可协议
CC-BY-4.0

## 联系方式
菊月树达也（Tatsuya Kikuzuki）：kikuzuki{at}fujitsu.com