Report
OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System
| العنوان: | OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System |
|---|---|
| المؤلفون: | Luo, Yujie, Ru, Xiangyuan, Liu, Kangwei, Yuan, Lin, Sun, Mengshu, Zhang, Ningyu, Liang, Lei, Zhang, Zhiqiang, Zhou, Jun, Wei, Lanning, Zheng, Da, Wang, Haofen, Chen, Huajun |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Databases, Computer Science - Information Retrieval, Computer Science - Machine Learning |
| الوصف: | We introduce OneKE, a dockerized schema-guided knowledge extraction system, which can extract knowledge from the Web and raw PDF Books, and support various domains (science, news, etc.). Specifically, we design OneKE with multiple agents and a configure knowledge base. Different agents perform their respective roles, enabling support for various extraction scenarios. The configure knowledge base facilitates schema configuration, error case debugging and correction, further improving the performance. Empirical evaluations on benchmark datasets demonstrate OneKE's efficacy, while case studies further elucidate its adaptability to diverse tasks across multiple domains, highlighting its potential for broad applications. We have open-sourced the Code at https://github.com/zjunlp/OneKE and released a Video at http://oneke.openkg.cn/demo.mp4. Comment: Work in progress |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2412.20005 |
| رقم الانضمام: | edsarx.2412.20005 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |