Publishing time series snippets on the Web
Keywords: Linked Data, Semantic Web, open data, Data Streams, Internet of Things, Semantic Sensor Web, smart cities
Promotors: Pieter Colpaert
Students: max 1
Problem
Time series snippets is a state of the art method to analyse time series. For example, what is the most occuring pattern in the time series stream of parking availability?
This way, decision makers and others can quickly have an overview in the behavior of time series in the Smart City.
Goal
This master thesis will focus on understanding how time series snippets can be generated and published on the Web.
This can be demonstrated with real use cases (parking availability, air quality etc.) by providing a dashboard of time series snippets.