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.
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 ;-)