LifeGraph: A Knowledge Graph for Lifelogs

Luca Rossetto, Matthias Baumgartner, Narges Ashena, Florian Ruosch, Romana Pernischová, A. Bernstein
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引用次数: 16

Abstract

The data produced by efforts such as life logging is commonly multi modal and can have manifold interrelations with itself as well as external information. Representing this data in such a way that these rich relations as well as all the different sources can be leveraged is a non-trivial undertaking. In this paper, we present the first iteration of LifeGraph, a Knowledge Graph for lifelogging data. LifeGraph aims at not only capturing all aspects of the data contained in a lifelog but also linking them to external, static knowledge bases in order to put the log as a whole as well as its individual entries into a broader context. In the Lifelog Search Challenge 2020, we show a first proof-of-concept implementation of LifeGraph as well as a retrieval system prototype which utilizes it to search the log for specific events.
LifeGraph:生活日志的知识图谱
生命测井等工作产生的数据通常是多模态的,可以与自身以及外部信息有多种相互关系。以一种可以利用这些丰富的关系以及所有不同来源的方式表示这些数据是一项非常重要的任务。在本文中,我们提出了LifeGraph的第一次迭代,这是一个用于生活记录数据的知识图谱。LifeGraph的目标不仅是捕获生活日志中包含的所有方面的数据,而且还将它们与外部静态知识库连接起来,以便将日志作为一个整体以及其单个条目置于更广泛的背景中。在2020年Lifelog搜索挑战赛中,我们展示了LifeGraph的第一个概念验证实现,以及一个检索系统原型,该系统利用它来搜索特定事件的日志。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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