个人知识图谱生态系统:调查与研究路线图

Martin G. Skjæveland, Krisztian Balog, Nolwenn Bernard, Weronika Łajewska, Trond Linjordet
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引用次数: 0

摘要

个人知识图谱(PKGs)通常被定义为与个人相关的实体、其属性以及它们之间关系的结构化信息资源。PKG 是实现安全、复杂的个人数据管理和个性化服务的关键因素。然而,在 PKG 得到广泛应用之前,还需要应对一些挑战。基本挑战之一是 PKG 的定义本身,因为对该术语有多种解释。我们提出了自己对 PKG 的定义,强调了以下两方面:(1) 单个个体对数据的所有权;(2) 以提供个性化服务为主要目的。我们进一步认为,需要从整体上看待 PKG,才能充分释放其潜力,并提出了一个统一的 PKG 框架,即 PKG 是一个更大的生态系统的一部分,具有面向数据服务和数据源的清晰接口。我们对现有工作进行了全面调查和综合,并将调查工作映射到建议的统一生态系统中。最后,我们确定了整个生态系统以及 PKG 的具体方面(包括人口、代表性和管理以及利用)所面临的挑战和研究机会。
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An ecosystem for personal knowledge graphs: A survey and research roadmap

This paper presents an ecosystem for personal knowledge graphs (PKGs), commonly defined as resources of structured information about entities related to an individual, their attributes, and the relations between them. PKGs are a key enabler of secure and sophisticated personal data management and personalized services. However, there are challenges that need to be addressed before PKGs can achieve widespread adoption. One of the fundamental challenges is the very definition of what constitutes a PKG, as there are multiple interpretations of the term. We propose our own definition of a PKG, emphasizing the aspects of (1) data ownership by a single individual and (2) the delivery of personalized services as the primary purpose. We further argue that a holistic view of PKGs is needed to unlock their full potential, and propose a unified framework for PKGs, where the PKG is a part of a larger ecosystem with clear interfaces towards data services and data sources. A comprehensive survey and synthesis of existing work is conducted, with a mapping of the surveyed work into the proposed unified ecosystem. Finally, we identify open challenges and research opportunities for the ecosystem as a whole, as well as for the specific aspects of PKGs, which include population, representation and management, and utilization.

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