# LifeGraph

> A knowledge graph system for organizing and retrieving lifelog data, linking images with metadata and detected concepts to external knowledge bases for comprehensive personal data visualization and retrieval.

- **URL:** https://dl.acm.org/doi/10.1145/3379172.3391717
- **Category:** Others
- **Tags:** lifelogging, Data Visualization, Research
- **Updated:** 2026-03-16 16:32
- **Canonical page:** https://timetrack.works/pt/items/lifegraph

## Details

## Overview

LifeGraph is a Knowledge Graph for lifelogging data that was developed for organizing and retrieving lifelog information. It offers a novel approach and organizes the lifelog data by using a graph structure, with images as the centerpoint of the schema.

## How It Works

The graph is constructed by linking images with the metadata and detected concepts, then is extended with Wikidata and COEL (Classification of Everyday Living).

## Purpose

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.

## Research Application

In the Lifelog Search Challenge 2020, researchers showed 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.

## Features

- Graph-based data organization with images at the center
- Metadata and concept linking
- External knowledge base integration (Wikidata, COEL)
- Event search and retrieval capabilities
- Comprehensive context for lifelog entries

## Use Case

Primarily used in research contexts for personal data visualization and lifelog analysis, helping users understand patterns and retrieve specific moments from comprehensive life tracking data.

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