Abstract
Air pollution has become a major threat today and the related respiration illnesses have deteriorated the wellness of many people. Herb, as one option of the medicine and also as diet, can provide very promising solution to the above threats. However, even though herbs are easily accessible in every cultures and areas, the knowledge of applying herbs on improving health is complicated and it takes quite lots of efforts to acquire the knowledge. In this paper, we design an ontology-based herb therapy recommendation web for respiration system health.
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Acknowledgements
This project is partially supported by the National Science Council, Taiwan, R.O.C., under grant no. MOST 103-2221-E-260-022 and 105-2221-E-260-014.
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Chien, HY., Chen, JF., Chen, YY., Lin, PS., Chang, YT., Chen, RC. (2018). An Ontology-Based Herb Therapy Recommendation for Respiration System. In: Pan, JS., Tsai, PW., Watada, J., Jain, L. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2017. Smart Innovation, Systems and Technologies, vol 81. Springer, Cham. https://doi.org/10.1007/978-3-319-63856-0_10
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