Fujitsu/WindowsRCA_Knowledge_Dataset

# WindowsRCA_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.
- `WindowsRCA_doc.csv` (Trouble Tickets for Windows OS) 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 |
| ----------- | ----------- |
| `WindowsRCA.zip` | Knowledge Graph for Root Cause Analysis constructed from `WindowsRCA_doc.csv` |
| `WindowsRCA_doc.csv` | Trouble Tickets for Windows OS |

## 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