Sensor-based Linked Open Rules (S-LOR): An Automated Rule Discovery Approach for IoT Applications and its use in Smart Cities.
Amelie Gyrard|Martin Serrano|Joao Bosco Jares|Soumya Kanti Datta|Muhammad Intizar Ali
| Anthology ID: | DBLP:conf/www/GyrardSJDA17 |
|---|---|
| Volume: | Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017 |
| Year: | 2017 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1153-1159 |
| URL: | https://doi.org/10.1145/3041021.3054716 |
| DOI: | https://doi.org/10.1145/3041021.3054716 |
| DBLP: | conf/www/GyrardSJDA17 |
| BibTeX: |
@inproceedings{gyrard-2017-sensorbased,
author = {Amelie Gyrard and
Martin Serrano and
Joao Bosco Jares and
Soumya Kanti Datta and
Muhammad Intizar Ali},
editor = {Rick Barrett and
Rick Cummings and
Eugene Agichtein and
Evgeniy Gabrilovich},
title = {{Sensor-based Linked Open Rules (S-LOR): An Automated Rule Discovery Approach for IoT Applications and its use in Smart Cities}},
booktitle = {{Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017}},
pages = {1153--1159},
publisher = {ACM},
year = {2017},
url = {https://doi.org/10.1145/3041021.3054716},
doi = {https://doi.org/10.1145/3041021.3054716}
}