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arXiv 2410.08094cs.AI
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SAKA:一个用于半自动知识图谱构建与应用的智能平台

SAKA: An Intelligent Platform for Semi-automated Knowledge Graph Construction and Application

Zhejiang University—University of Illinois at Urbana-Champaign Joint Institute(浙江大学-伊利诺伊大学厄巴纳-香槟分校联合研究所);Chu Kochen Honors College, Zhejiang University(浙江大学竺可桢学院)

Hanrong Zhang, Xinyue Wang, Jiabao Pan, Hongwei Wang

AI总结:

本文提出SAKA智能平台,支持用户半自动构建知识图谱,并创新性地从音频数据抽取信息构建图谱,同时提供基于知识图谱的问答系统,以降低使用门槛并充分利用图谱潜力。

摘要:

知识图谱(KG)技术在众多领域得到广泛应用,许多公司也提供了基于知识图谱的应用。然而,大多数知识图谱平台需要用户具备专业知识,并花费大量时间和精力手动构建知识图谱记录,这对普通用户来说困难重重。此外,音频数据丰富且蕴含宝贵信息,但将其转化为知识图谱颇具挑战。而且,这些平台通常未能充分利用用户构建的知识图谱的潜力。在本文中,我们提出了一个智能且用户友好的半自动知识图谱构建与应用平台(SAKA),以解决上述问题。首先,用户可以通过与平台交互,从多个领域的结构化数据中半自动地构建知识图谱,并在此基础上对知识图谱的多版本进行存储、查看、管理和更新。其次,我们提出了一种基于音频的知识图谱信息抽取(AGIE)方法,用于从音频数据中建立知识图谱。最后,该平台基于用户创建的知识图谱,构建了一个基于语义解析的知识库问答(KBQA)系统。我们在SAKA平台上验证了半自动知识图谱构建方法的可行性。

英文摘要:

Knowledge graph (KG) technology is extensively utilized in many areas, and many companies offer applications based on KG. Nonetheless, most KG platforms necessitate expertise and tremendous time and effort from users to construct KG records manually, which poses great difficulties for ordinary people. Additionally, audio data is abundant and holds valuable information, but it is challenging to transform it into a KG. What's more, the platforms usually do not leverage the full potential of the KGs constructed by users. In this paper, we propose an intelligent and user-friendly platform for Semi-automated KG Construction and Application (SAKA) to address the aforementioned problems. Primarily, users can semi-automatically construct KGs from structured data of numerous areas by interacting with the platform, based on which multi-versions of KG can be stored, viewed, managed, and updated. Moreover, we propose an Audio-based KG Information Extraction (AGIE) method to establish KGs from audio data. Lastly, the platform creates a semantic parsing-based knowledge base question answering (KBQA) system based on the user-created KGs. We prove the feasibility of the semi-automatic KG construction method on the SAKA platform.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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