C3Subtitles: 36c3-wikipaka: KDE Itinerary - A privacy by design travel assistant
back

KDE Itinerary - A privacy by design travel assistant

If you suspend your transcription on amara.org, please add a timestamp below to indicate how far you progressed! This will help others to resume your work!

Please do not press “publish” on amara.org to save your progress, use “save draft” instead. Only press “publish” when you're done with quality control.

Video duration
00:33:25
Language
English
Abstract
Getting your itinerary presented in a unified, well structured and always up to date fashion rather than as advertisement overloaded HTML emails or via countless vendor apps has become a standard feature of digital assistants such as the Google platform. While very useful and convenient, it comes at a heavy privacy cost. Besides sensitive information such as passport or credit card numbers, the correlation of travel data from a large pool of users exposes a lot about people's work, interests and relationships. Just not using such services is one way to escape this, or we build a privacy-respecting alternative ourselves!

Standing on the shoulders of KDE, Wikidata, Navitia, OpenStreetMap and a few other FOSS communities we have been exploring what it would take to to build a free and privacy-respecting travel assistant during the past two years, resulting in a number of building blocks and the "KDE Itinerary" application. In this talk we will look at what has been built, and how, and what can be done with this now. In particular we will review the different types of data digital travel assistants rely on, where we can get those from, and at what impact for your privacy.

The most obvious data source are your personal booking information. Extracting data from reservation documents is possible from a number of different input formats, such as emails, PDF files or Apple Wallet passes, considering structured annotations and barcodes, but also by using vendor-specific extractors for unstructured data. All of this is done locally on your own devices, without any online access.

Reservation data is then augmented from open data sources such as Wikidata and OpenStreetMap to fill in often missing but crucial information such as timezones or geo coordinates of departure and arrival locations. And finally we need realtime traffic data as well, such as provided by Navitia as Open Data for ground-based transport.

Should the author fail to show up to this presentation it might be that his Deutsche Bahn ticket rendering code still needs a few bugfixes ;-)

Talk ID
36c3WPWG-59
Event:
36c3-wikipaka
Day
1
Room
WikiPaka WG: Esszimmer
Start
4 p.m.
Duration
00:30:00
Track
Science
Type of
Talk
Speaker
Volker Krause
0.0% Checking done0.0%
0.0% Syncing done0.0%
0.0% Transcribing done0.0%
100.0% Nothing done yet100.0%

English: Transcribed until

Last revision: 9 months, 1 week ago