Vil integrere BusTUC med andre strukturerte data, for å finne ut hvordan pplysninger best kan distribueres vha. av en multi-modal datamaskin.
Oppgave:
What is the most natural way to get information about bus scedules or other well organised and structured data?
The task will be to extend the functionality of the spoken natural language query system to include support for some other useful and possibly relevant information.
Such information could be train routes (NSB), other train information, or possibly opening hours of for example Trondheim Torg or Studentersamfundet.
If opening hours for popular destinations are included, one might extend the system to answer questions such as "first bus to Trondheim Torg" more well: that is, the first bus that will drop you off by an open Trondheim Torg.
One should look at different ways to include this functionality, as well as the consequences for the system as a whole. This could mean investigating user behavior and service quality. For example, what do users think of the system's usefulness and user-friendliness (with this extension)? And could one type of question be easily confused with another and damage the usefulness of the system?
With a prototype in place one could then investigate the actual consequences, and see if any parts of the system could be changed to provide better service overall.
As the system is currently quite unstable, that will have to be looked into. The current state of the system, will of course influence the project plan.
(Some existing work to build on can be found here)