Assessing Quality in the Web of Linked Sensor Data

Abstract

Assessing the quality of sensor data available on the Web is essential in order to identify reliable information for decision-making. This paper discusses how provenance of sensor observations and previous quality ratings can influence quality assessment decisions.

Cite

Text

Baillie et al. "Assessing Quality in the Web of Linked Sensor Data." AAAI Conference on Artificial Intelligence, 2011. doi:10.1609/AAAI.V25I1.8044

Markdown

[Baillie et al. "Assessing Quality in the Web of Linked Sensor Data." AAAI Conference on Artificial Intelligence, 2011.](https://mlanthology.org/aaai/2011/baillie2011aaai-assessing/) doi:10.1609/AAAI.V25I1.8044

BibTeX

@inproceedings{baillie2011aaai-assessing,
  title     = {{Assessing Quality in the Web of Linked Sensor Data}},
  author    = {Baillie, Chris Colin and Edwards, Peter and Pignotti, Edoardo},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2011},
  pages     = {1750-1751},
  doi       = {10.1609/AAAI.V25I1.8044},
  url       = {https://mlanthology.org/aaai/2011/baillie2011aaai-assessing/}
}