Thymeflow, A Personal Knowledge Base with Spatio-temporal Data

David Montoya, Thomas Pellissier Tanon, S. Abiteboul, Fabian M. Suchanek
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引用次数: 5

Abstract

The typical Internet user has data spread over several devices and across several online systems. We demonstrate an open-source system for integrating user's data from different sources into a single Knowledge Base. Our system integrates data of different kinds into a coherent whole, starting with email messages, calendar, contacts, and location history. It is able to detect event periods in the user's location data and align them with calendar events. We will demonstrate how to query the system within and across different dimensions, and perform analytics over emails, events, and locations.
Thymeflow,一个具有时空数据的个人知识库
典型的互联网用户的数据分布在多个设备和多个在线系统上。我们演示了一个开源系统,用于将来自不同来源的用户数据集成到单个知识库中。我们的系统将不同类型的数据整合成一个连贯的整体,从电子邮件信息、日历、联系人和位置历史开始。它能够检测用户位置数据中的事件周期,并将它们与日历事件对齐。我们将演示如何在不同维度内和跨维度查询系统,并对电子邮件、事件和位置执行分析。
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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