Summary of Saka: An Intelligent Platform For Semi-automated Knowledge Graph Construction and Application, by Hanrong Zhang et al.
SAKA: An Intelligent Platform for Semi-automated Knowledge Graph Construction and Application
by Hanrong Zhang, Xinyue Wang, Jiabao Pan, Hongwei Wang
First submitted to arxiv on: 10 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed Semi-automated KG Construction and Application (SAKA) platform is designed to facilitate the creation of knowledge graphs (KGs) for non-experts, leveraging structured data from various domains. The platform allows users to semi-autonomously construct KGs through interactive processes, enabling the storage, viewing, management, and updating of multi-versions of these KGs. Additionally, an Audio-based KG Information Extraction (AGIE) method is proposed to extract KGs from audio data, which can be leveraged for various applications. Furthermore, a semantic parsing-based knowledge base question answering (KBQA) system is developed to answer questions based on user-created KGs. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The SAKA platform helps people build knowledge graphs without needing expertise or lots of time and effort. It’s hard to make these graphs from scratch, especially when using audio data that contains valuable information. The platform solves this problem by letting users semi-automatically create these graphs with the help of structured data. It also allows for multiple versions of the graphs to be stored, viewed, managed, and updated. |
Keywords
» Artificial intelligence » Knowledge base » Question answering » Semantic parsing
