Querying Dynamic Datasources with Continuously Mapped Sensor Data

@inproceedings{taelman_iswc_poster_2016,
    author = {Taelman, Ruben and Heyvaert, Pieter and Verborgh, Ruben and Mannens, Erik},
    title = {Querying Dynamic Datasources with Continuously Mapped Sensor Data},
    booktitle = {Proceedings of the 15th International Semantic Web Conference: Posters and Demos},
    year = {2016},
    month = {october},
    pdf = {http://rubensworks.net/raw/publications/2016/QueryingDynamicDatasourcesWithContinuouslyMappedData.pdf},
    abstract = {
The world contains a large amount of sensors that produce new data at
a high frequency. It is currently very hard to find public services that expose these
measurements as dynamic Linked Data. We investigate how sensor data can be
published continuously on the Web at a low cost. This paper describes how the
publication of various sensor data sources can be done by continuously mapping
raw sensor data to RDF and inserting it into a live, low-cost server. This makes it
possible for clients to continuously evaluate dynamic queries using public sensor
data. For our demonstration, we will illustrate how this pipeline works for the
publication of temperature and humidity data originating from a microcontroller,
and how it can be queried.
  },

    _poster = {http://www.slideshare.net/RubenTaelman/querying-dynamic-datasources-with-continuously-mapped-sensor-data}
}