The typical Internet user has data spread over several devices and across several online systems. In this paper, we introduce a novel framework for integrating a user’s data 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, how they can be aligned with events from the calendar, and how they can be linked to relevant emails. This allows users to query their personal information within and across different dimensions, and to perform analytics over their emails, events, and locations. To this end, our system extends the schema.org vocabulary and provides a SPARQL interface.