探索LifeGraph中的图查询方法

Luca Rossetto, Matthias Baumgartner, Ralph Gasser, Lucien Heitz, Ruijie Wang, A. Bernstein
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引用次数: 16

摘要

生命日志数据的多模态和相互关联的性质使其非常适合基于图形的表示。在本文中,我们介绍了LifeGraph的第二次迭代,即lifeelog数据的知识图谱,最初是在2020年第三届lifeelog搜索挑战赛期间引入的。第二次迭代包含了从前一个版本中吸取的一些经验教训。虽然实际的图只发生了很小的变化,但在查询期间遍历图的机制以及执行遍历的底层存储系统都发生了变化。查询公式的方法在功能上也略有扩展,并且变得更加高效和直观。所有这些变化都是为了提高结果质量和减少查询时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring Graph-querying approaches in LifeGraph
The multi-modal and interrelated nature of lifelog data makes it well suited for graph-based representations. In this paper, we present the second iteration of LifeGraph, a Knowledge Graph for Lifelog Data, initially introduced during the 3rd Lifelog Search Challenge in 2020. This second iteration incorporates several lessons learned from the previous version. While the actual graph has undergone only small changes, the mechanisms by which it is traversed during querying as well as the underlying storage system which performs the traversal have been changed. The means for query formulation have also been slightly extended in capability and made more efficient and intuitive. All these changes have the aim of improving result quality and reducing query time.
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