Publishing time series snippets on the Web
Keywords: Linked Data, Semantic Web, open data, Internet of Things, Data Streams, Semantic Sensor Web, smart cities
Supervision: Pieter Colpaert
Students: max 1
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.
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.