A Knowledge Base for Personal Information Management

Abstract : Internet users have personal data spread over several devices and across several web systems. In this paper, we introduce a novel open-source framework for integrating the data of a user from different sources into a single knowledge base. Our framework integrates data of different kinds into a coherent whole, starting with email messages, calendar, contacts, and location history. We show how event periods in the user's location data can be detected and how they can be aligned with events from the calendar. This allows users to query their personal information within and across different dimensions, and to perform analytics over their emails, events, and locations. Our system models data using RDF, extending the schema.org vocabulary and providing a SPARQL interface.
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Submitted on : Monday, October 15, 2018 - 7:00:17 PM
Last modification on : Wednesday, July 3, 2019 - 3:02:02 PM
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  • HAL Id : hal-01719312, version 1

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David Montoya, Thomas Tanon, Serge Abiteboul, Pierre Senellart, Fabian Suchanek. A Knowledge Base for Personal Information Management. LDOW2018 - Linked Open Data Workshop at the World Wide Web Conference, Apr 2018, Lyon, France. ⟨hal-01719312⟩

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