DOI QR코드

DOI QR Code

Development of Voice Guide Service for Pharmaceutical Information based on Ontology

  • Received : 2018.02.10
  • Accepted : 2018.03.03
  • Published : 2018.03.30

Abstract

Generally, disabled people have a lot of bad health status at low income levels, the need for health care is higher than for non-disabled people. Although the number of persons with disabilities is increasing with each passing year, their medical services and support are still limited and limited. This problem is not so different from approach to medical information. Conventional medical information is usually printed and transmitted to the patient, but visually impaired people have difficulty accessing such printed information. In the case of the visually impaired, there are many cases where it is not possible to read not only the printed letter but also the braille because the acquired incidence is high. Therefore, this paper tried to solve this problem by transmitting the information of medicine by voice using RFID. In addition, ontology was used to select more accurate drug information. Currently, there are drug information sites provided by the Ministry of Health and Welfare. However, since duplicate information is scattered on these sites, the ontology was used to build up the database.

Keywords

References

  1. Bae, J. Y., & Cho, M. S. (2016). Ontology of Food Safety for the Social Big Data Analysis. Journal of Health Informatics and Statistics, 41(3), 278-289. DOI: https://doi.org/10.21032/jhis.2016.41.3.278
  2. Karthaus, U., & Fischer, M. (2003). Fully integrated passive UHF RFID transponder IC with 16.7-/spl mu/W minimum RF input power. IEEE Journal of solid-state circuits, 38(10), 1602-1608. DOI: 10.1109/JSSC.2003.817249
  3. Kwon, J., Song, T., & Cho, W. (2014). Read Range Reduction in Passive UHF RFID Tag by Smart Device Signal Interference. The Journal of Korean Institute of Electromagnetic Engineering and Science, 25(1), 83-91. DOI: 10.5515/KJKIEES.2014.25.1.83
  4. Noy, N. F. (2001). Ontology development 101: A guide to creating your first ontology: Knowledge systems laboratory, Stanford university. Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report SMI-2001-0880.
  5. Tanaka, Y., Umeda, Y., Takyu, O., Nakayama, M., & Kodama, K. (2009). Change of read range for UHF passive RFID tags in close proximity. 2009 IEEE International Conference on RFID (pp. 338-345), IEEE. DOI: 10.1109/RFID.2009.4911202
  6. Villanueva-Rosales, N. & Dumontier, M. (2007). Describing Chemical Functional Groups in OWLDL for the Classification of Chemical Compounds. In OWLED (Vol. 258).
  7. Kang Dae-hyun, Lee Jung-min, Kim Tae-yoon, Park Hansem, Kwang-Rak Kwon, Jung In-jeong (2015). A Study on the Historical Ontology Generation Method Using Metadata. Korean Institute of Communication Sciences, 801-802.
  8. Ko Young Man, Lee Seung Jun, Song Min Sun (2015). A Study on RDF Ontology Conversion Method of Structural Academic Term Dictionary (STNet) based on Relational Database. Journal of Information Management, 32 (2), 131-152. DOI : 10.3743/KOSIM.2015.32.2.131
  9. Kim Jae Young and Lee Suk Won (2013). Movie Recommendation Technique Using Relation between Ontology Based Movie Metadata. Intelligent Information Research, 19 (3), 25-44.
  10. Park In Jeong, Park Deock Jea (2010). A Study on the Pedestrian Guide System for the Blind using RFID. Journal of the Institute of Electronics Engineers of Korea, 47, 124-130.
  11. Ministry of Health and Welfare (2014). Survey Report on the Status of Persons with Disabilities in accordance with Article 31 of the Welfare Act for the Disabled. Ministry of Health and Welfare.
  12. Son Jong-soo, Kim Do-hyung, and Jung In-jung (2010). A Case Study on the Knowledge of Drug Information Using Ontology. Korean Information Science Society, 37 (1C), 317-322.