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J-GLOBAL ID：202402269796436831   Reference number：24A0212401

A Two-Phase Machine Learning Framework for Context-Aware Service Selection to Empower People with Disabilities

障害のある人々に対する文脈を意識したサービス選択のための2相機械学習フレームワーク【JST・京大機械翻訳】

Author (6)： Namoun Abdallah (Faculty of Computer and Information Systems, Islamic University of Madinah, Madinah 42351, Saudi Arabia) ,  Sen Adnan Ahmed Abi (Faculty of Computer and Information Systems, Islamic University of Madinah, Madinah 42351, Saudi Arabia) ,  Tufail Ali (School of Digital Science, Universiti Brunei Darussalam, Tungku Link, Gadong BE1410, Brunei) ,  Alshanqiti Abdullah (Faculty of Computer and Information Systems, Islamic University of Madinah, Madinah 42351, Saudi Arabia) ,  Nawaz Waqas (Faculty of Computer and Information Systems, Islamic University of Madinah, Madinah 42351, Saudi Arabia) ,  BenRhouma Oussama (Faculty of Computer and Information Systems, Islamic University of Madinah, Madinah 42351, Saudi Arabia)
Material： Sensors (Web)
Volume： 22  Issue： 14  Page： 5142  Publication year： 2022 
JST Material Number： U7015A  ISSN： 1424-8220  CODEN： SENSC9  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： The use of software and IoT se...

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Thesaurus term： model ,  software ,  user ,  *context ,  accessibility ,  multi criteria decision ,  *machine learning ,  ontology ,  web service
Semi thesaurus term： 品質因子 ,  サービスプロバイダ ,  TOPSIS方法 ,  モノのインターネット ,  *サービス選択 ,  支援サービス , 【Automatic Indexing@JST】

Author keywords (10)： service selection ,  disabled people ,  web services ,  quality of service ,  QoS ,  accessibility ,  assistive technologies ,  universal design ,  machine learning ,  ontologies

JST classification (5)： Computer utilization technology in general  (JE01000C) ,  Mobile communication  (ND08030H) ,  Graphic and image processing in general  (JE04010I) ,  Medical information processing  (JE15030Q) ,  Communication network  (ND07030A)

Reference (97)：

• World Health Organization. Infographic-Better Health for People with Disabilities; World Health Organization: Geneva, Switzerland, 2022; Available online: https://www.euro.who.int/en/health-topics/Life-stages/disability-and-rehabilitation/multimedia/infographic-better-health-for-people-with-disabilities (accessed on 5 March 2022). World Health Organization. WHO Global Disability Action Plan 2014-2021: Better Health for All People with Disability; World Health Organization: Geneva, Switzerland, 2015.
• Domingo, M.C. An overview of the Internet of Things for people with disabilities. J. Netw. Comput. Appl. 2012, 35, 584-596.
• Da Silva, A.S.; Ma, H.; Mei, Y.; Zhang, M. A survey of evolutionary computation for Web service composition: A technical perspective. IEEE Trans. Emerg. Top. Comput. Intell. 2020, 4, 538-554.
• Asghari, P.; Rahmani, A.M.; Javadi, H.H.S. Service composition approaches in IoT: A systematic review. J. Netw. Comput. Appl. 2018, 120, 61-77.
• Hayyolalam, V.; Kazem, A.A.P. A systematic literature review on QoS-aware service composition and selection in cloud environment. J. Netw. Comput. Appl. 2018, 110, 52-74.

Terms in the title (6)： 障害 ,  文脈 ,  意識 ,  サービス ,  機械学習 ,  フレームワーク