Abstract
This paper presents CleanGraph, an interactive web-based tool designed to facilitate the refinement and completion of knowledge graphs. Maintaining the reliability of knowledge graphs, which are grounded in high-quality and error-free facts, is crucial for real-world applications such as question-answering and information retrieval systems. These graphs are often automatically assembled from textual sources by extracting semantic triples via information extraction. However, assuring the quality of these extracted triples, especially when dealing with large or low-quality datasets, can pose a significant challenge and adversely affect the performance of downstream applications. CleanGraph allows users to perform Create, Read, Update, and Delete (CRUD) operations on their graphs, as well as apply models in the form of plugins for graph refinement and completion tasks. These functionalities enable users to enhance the integrity and reliability of their graph data. A demonstration of CleanGraph and its source code can be accessed at this https URL under the MIT License.
Abstract (translated)
本文介绍了CleanGraph，一个交互式的网页工具，旨在促进知识图谱的完善和完成。保持知识图谱的可靠性，这些知识图谱基于高质量和无错误的事实，对于现实世界的应用，如问答和信息检索系统，至关重要。这些图通常通过提取语义三元组来自文本来源。然而，在处理大型或低质量数据集时，确保这些提取的三元组质量具有相当大的挑战，并会破坏下游应用的性能。CleanGraph允许用户执行创建、读取、更新和删除（CRUD）操作，以及以插件形式应用模型来完成知识图谱的完善和完成任务。这些功能使用户能够增强其图形数据的完整性和可靠性。CleanGraph及其源代码的演示地址可以在https://www.clean-graph.org/ under the MIT License中访问。
URL
https://arxiv.org/abs/2405.03932
