Fujitsu/UbuntuRCA_Knowledge_Dataset

# UbuntuRCA_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. - [Official Ubuntu Documentation](https://help.ubuntu.com/) was used as the input document and converted into the 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 | | ----------- | ----------- | | `UbuntuRCA.zip` | Knowledge Graph for Root Cause Analysis constructed from [Official Ubuntu Documentation](https://help.ubuntu.com/) | ## 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# UbuntuRCA知识库数据集 ## 数据集概览 - 本数据集是利用面向根因分析（Root Cause Analysis）、基于富士通知识图谱增强的检索增强生成（Retrieval-Augmented Generation, RAG）技术构建的结构化知识图谱，该项技术为富士通的专属技术之一。 - 数据集以[Ubuntu官方文档](https://help.ubuntu.com/)作为输入文档，并将其转换为上述知识图谱。 - 由于该数据集以Neo4j格式提供，因此可便捷地进行可视化处理，既可用于基于知识图谱的简易聊天应用开发，也可用于人工智能技术的研发工作。 ## 仓库概览 | 文件名称 | 功能描述 | | :---------------- | :------- | | `UbuntuRCA.zip` | 基于[Ubuntu官方文档](https://help.ubuntu.com/)构建的根因分析专用知识图谱 | ## 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 Tatsuya Kikuzuki、Akihiro Wada、Yoshihiro Okawa及Masatoshi Ogawa，《基于因果知识图谱与大语言模型（Large Language Model, LLM）的无线网络根因分析》，已提交待发表。 ## 许可证 CC-BY-4.0 ## 联系方式 Tatsuya Kikuzuki：kikuzuki{at}fujitsu.com