Human Localization Sensor Ontology (HLS) is OWL2 DL ontology, based on SSN ontology, describing knowledge in human localization sensing patterns using description logics (SROIQ) as defined classes, allowing automatic classification (i.e. semantic sensor search) of sensors that can be used to find human location.

The ontology is well documented in comment/description and can be viewed through online documentation tools (LODE) here:

http://www.essepuntato.it/lode/owlapi/http://www.dadfha.com/ont/hls-latest.owl

Publication:

@inproceedings{chaochaisit2016human,
  title={Human Localization Sensor Ontology: Enabling OWL 2 DL-Based Search for User's Location-Aware Sensors in the IoT},
  author={Chaochaisit, Wirawit and Bessho, Masahiro and Koshizuka, Noboru and Sakamura, Ken},
  booktitle={2016 IEEE Tenth International Conference on Semantic Computing (ICSC)},
  pages={107--111},
  year={2016},
  organization={IEEE}
}