Ontologies for Smart Homes in Elderly Healthcare: A Systematic Review
محل انتشار: فصلنامه مطالعات پردازش دانش، دوره: 5، شماره: 2
سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 94
فایل این مقاله در 34 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJKPS-5-2_008
تاریخ نمایه سازی: 4 شهریور 1404
چکیده مقاله:
In the near future, many elderly people will live alone, either by necessity or choice, requiring support from families and governments to maintain their health and quality of life. The senior curve and potential future directions are our objectives in this paper. We looked at ۴۸ papers on the ontology of smart homes for elderly health in this systematic review. Keywords included elderly health, ontology, and smart home, which were examined in both healthcare and technology domains. PubMed, IEEE, Medline, Google Scholar, and Scopus databases were population will represent a significant portion of the smart home market, benefiting from its technology, though its full potential won't be realized without proper design. Ontology can play a key role in this by organizing knowledge about entities, interactions, and qualities, which helps manage knowledge flow and reduces complexity in the smart home sector. Many ontologies have already been developed in this area. Studying ontologies' dimensions and comprehending their maturation selected for the search, and two researchers reviewed all articles according to the inclusion and exclusion criteria. Ontologies are essential for generating, processing, and using health data, as well as advancing personalized care and medicine. By analyzing and comparing various ontologies, we identified future trends like precision medicine, tactile Internet, and feedback systems. We classified ontologies into three generations and found that recent ones include new dimensions such as nutrition, cognitive and mental health, social behavior, physiological status, and physical activity.
کلیدواژه ها:
نویسندگان
Najmeh Nazeri
PhD Candidate, Knowledge and Information Science-Knowledge Management, Management and Economics faculty, Tarbiat Modares University, Tehran, Iran.
Atefeh Sharif
Assistant Prof., Knowledge and Information Science-Knowledge Management, Management and Economics faculty, Tarbiat Modares University, Tehran, Iran.
Mohammad Hassanzadeh
Prof., Knowledge and Information Science-Knowledge Management, Management and Economics faculty, Tarbiat Modares University, Tehran, Iran.
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :