An Ontology-Based Model for Treatment Guidelines of Internet and Games Addiction
Jutaporn Lertkrai1, Puriwat Lertkrai2, Nattapong Kaewboonma3

1Jutaporn Lertkrai, Department of Information Systems, Faculty of Management Technology, Rajamangala University of Technology Srivijaya.
2Puriwat Lertkrai, Department of Information Systems, Faculty of Management Technology, Rajamangala University of Technology Srivijaya.
3Nattapong Kaewboonma, Department of Information Systems, Faculty of Management Technology, Rajamangala University of Technology Srivijaya.
Manuscript received on 26 June 2019 | Revised Manuscript received on 14 July 2019 | Manuscript Published on 26 July 2019 | PP: 113-117 | Volume-8 Issue-2S2 July 2019 | Retrieval Number: B10210782S219/2019©BEIESP | DOI: 10.35940/ijrte.B1021.0782S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Internet and games addiction will become a difficult problem for the parents, because the internet and games easier to access and has more contents. Thus, the number of internet and games addiction will be increasing in the future. This study recommends ontology expansion for treatment guidelines of internet and games addiction that will use as the component of recommendation system in web technology. This study’s methodology can be condensed into three states; data collection ontology development, and evaluation. This ontology included seven main classes, there are profile, characteristics, risk factors, devices, treatment, and GAST. The evaluation result that conducted by domain experts included a highly-superior concentration of 88.34%, which confirms that this ontology may be employed for developing a recommendation system.
Keywords: Clinical Practice, Internet and Game Addiction, Ontologies, Recommender System.
Scope of the Article: Internet and Web Applications