arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2402.07540cs.HCcs.AIcs.CL
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PKG API:一种用于个人知识图谱管理的工具

PKG API: A Tool for Personal Knowledge Graph Management

University of Stavanger(斯塔万格大学)

Nolwenn Bernard, Ivica Kostric, Weronika Łajewska, Krisztian Balog, Petra Galuščáková, Vinay Setty, Martin G. Skjæveland

AI总结:

针对个人知识图谱缺乏用户友好实现的问题,提出包含PKG Client和PKG API的完整解决方案,并设计基于RDF的词汇表以支持自然语言数据管理及访问权限与来源表示。

摘要:

个人知识图谱(PKG)为个人提供了一种将碎片化个人数据集中存储和整合的方式,在保持用户完全控制的同时改善服务个性化。尽管具有潜力,但具备用户友好界面的实用PKG实现仍然稀缺。这项工作通过提出一个完整的解决方案来表示、管理和与PKG交互,从而填补了这一空白。我们的方法包括(1)一个面向用户的PKG Client,使最终用户能够通过自然语言语句轻松管理其个人数据,以及(2)一个面向服务的PKG API。为了解决在PKG中表示这些语句的复杂性,我们提出了一种基于RDF的PKG词汇表来支持这一点,并附带了访问权限和来源属性。

英文摘要:

Personal knowledge graphs (PKGs) offer individuals a way to store and consolidate their fragmented personal data in a central place, improving service personalization while maintaining full user control. Despite their potential, practical PKG implementations with user-friendly interfaces remain scarce. This work addresses this gap by proposing a complete solution to represent, manage, and interface with PKGs. Our approach includes (1) a user-facing PKG Client, enabling end-users to administer their personal data easily via natural language statements, and (2) a service-oriented PKG API. To tackle the complexity of representing these statements within a PKG, we present an RDF-based PKG vocabulary that supports this, along with properties for access rights and provenance.

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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