KHealthAsthmaOntology

From Knoesis wiki
Revision as of 16:01, 10 July 2018 by Amelie (Talk | contribs) (Kao Ontology: Best Practices with Perfecto (ONGOING) (ONGOING))

Jump to: navigation, search

Knoesis Asthma Ontology (KAO)

The Knoesis Asthma Ontology (KAO) is being designed to deduce abstractions from the asthma dataset provided by the kHealth project.

The asthma dataset collects data generated by IoT devices such as peak flow meter, Foobot, Fitbit, AirNow, and other Web Services obtaining parameters such as air quality, pollen index, outside humidity and temperature.

The knoesis Asthma Ontology (kAO) ontology is being created and reused ontologies as follows:


Kao Ontology: Best Practices with PerfectO (ONGOING)

We follow as much as possible the PerfectO methodology to improve the quality of the ontology and its integration with useful ontology tools to provide automatic documentation visualization, etc.

Kao Ontology: Best Practices with PerfectO

200px|thumb|center|Kao Ontology: Best Practices with PerfectO

200px|thumb|center|Kao Ontology: Best Practices with PerfectO

200px|thumb|center|Kao Ontology: Best Practices with PerfectO

kao ontology implementation (ONGOING)

kao Ontology code V2

kao Ontology code V1

References

Sheth, A., Jaimini, U., Thirunarayan, K., Banerjee, T.: Augmented personalized health: How smart data with iots and ai is about to change healthcare. In: IEEE RTSI. (2017)

Jaimini, U., Banerjee, T., Romine, W., Thirunarayan, K., Sheth, A., Kalra, M.: Investigation of an indoor air quality sensor for asthma management in children. IEEE sensors letters (2017)

Anantharam, P., Banerjee, T., Sheth, A., Thirunarayan, K., Marupudi, S., Sridharan, V., Forbis, S.G.: Knowledge-driven personalized contextual mhealth service for asthma management in children. In: IEEE ICMS. (2015)

Sheth, A., Anantharam, P., Thirunarayan, K.: khealth: Proactive personalized actionable information for better healthcare. In: PDA@ IOT at VLDB. (2014)

Sheth, A., Anantharam, P., Henson, C.: Physical-cyber-social computing: An early 21st century approach. IEEE Intelligent Systems (2013)

Staroch, P.: A weather ontology for predictive control in smart homes. Master’s thesis (2013)

Kofler, M., Reinisch, C., Kastner, W.: An intelligent knowledge representation of smart home energy parameters. In: Proceedings of the World Renewable Energy Congress (WREC). (2011)

Acknowledgments

This work is partially funded by KHealth NIH 1 R01 HD087132-01. The opinions expressed are those of the authors and do not reflect those of the sponsors.