2018
DOI: 10.14419/ijet.v7i4.15.21374
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Hybrid Search Approach for Retrieving Medical and Health Science Knowledge from Quran

Abstract: Keyword-based technique has low accuracy and always leads to wrong information retrieved. Therefore, many researchers implement semantic search to overcome the above problems. Many researchers have built different Quran ontology in various domains to facilitate the knowledge representation in the Quran. Nevertheless, there are many domain concepts mentioned in the Quran which are not yet covered, especially for the Medical and Health Science domain. Hence, this research presents the development of ontology for… Show more

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Cited by 9 publications
(5 citation statements)
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“…[150]- [153] As the last subject, some of the articles have dealt with issues of Islamic Medicine. Development of an Expert System to offer the recommendations of the Islamic Medicine to the patients, building ontology network out of medical and medicinal concepts in the Holy Qur'an and the Islamic content, as well as establishing information retrieval systems and the advanced search for this kind of content are among subjects dealt with [154]- [156].…”
Section: E Other Contents Of Islamic Sciencesmentioning
confidence: 99%
“…[150]- [153] As the last subject, some of the articles have dealt with issues of Islamic Medicine. Development of an Expert System to offer the recommendations of the Islamic Medicine to the patients, building ontology network out of medical and medicinal concepts in the Holy Qur'an and the Islamic content, as well as establishing information retrieval systems and the advanced search for this kind of content are among subjects dealt with [154]- [156].…”
Section: E Other Contents Of Islamic Sciencesmentioning
confidence: 99%
“…Similar to our approach, Jeong and Seo [20] proposed a keyword matching-based answer retrieval technique based on the collection of Q&A sets from Twitter by utilizing the tweet-and-reply and the tweet-and-mention pairs and the refinement of the newly collected pairs by adding them to the existing Q&A knowledge database. As these related works focused on developing the Q&A chatbots' answer retrieval technique to provide more accurate and flexible answers to their users, the response appropriateness of each chatbot based on quantitative data such as self-report questionnaire [20] or recall and precision measurement [18,35] was evaluated. While these proposed knowledge databases and answer retrieval techniques for Q&A chatbots were appropriate to be applied to general health care or lifecare services whose target users and content coverage were not specified, there have also been a variety of informative chatbots designed for the specific purposes of supporting pregnant women and mothers or families with young children in emergency situations [6] and providing low-cost accessible fertility and preconception health education for perinatal women [36] or breastfeeding education for community health workers and mothers in under-developed areas [37].…”
Section: Principal Findingsmentioning
confidence: 99%
“…However, the major challenge perceived by more than 70% of the medical physicians in one study is the inability of health care chatbots to address the full extent of a patient's needs and understand or display the emotional state of humans [17]. Furthermore, common concerns on inaccurate and inflexible information that chatbots provided have been raised [3,5,[17][18][19][20]. Despite these continuous attempts to provide patients with better user experience (UX) on informational and emotional support, both costs and benefits are still associated with the use of medical chatbots.…”
Section: Introductionmentioning
confidence: 99%
“…The terms leading to health studies are even developed using technology to collect verses (Nodehi et al, 2017;Safee et al, 2018). Researchers' responses to this problem can be mapped into three tendencies.…”
Section: A Introductionmentioning
confidence: 99%