TY - JOUR AU - El Morr, Christo AU - Maret, Pierre AU - Muhlenbach, Fabrice AU - Dharmalingam, Dhayananth AU - Tadesse, Rediet AU - Creighton, Alexandra AU - Kundi, Bushra AU - Buettgen, Alexis AU - Mgwigwi, Thumeka AU - Dinca-Panaitescu, Serban AU - Dua, Enakshi AU - Gorman, Rachel PY - 2021 DA - 201/11/5 TI -一个残疾倡导的虚拟社区:发展一个可搜索的人工Intelligence-Supported平台乔- Res JMIR形式SP - e33335六世- 5 - 11 KW -虚拟社区KW -机器学习KW -语义Web KW -自然语言处理KW -网络情报KW -卫生信息学KW - Wikibase KW -残疾人权利KW -人权KW - CRPD KW -股权KW -社区KW -残疾KW -伦理KW -权利KW -飞行员KW -平台AB -背景:缺乏残疾数据被认为是阻碍持续监测残疾公平的主要挑战。重要的是开发一个平台，使人们能够搜索残疾数据，揭露系统性歧视和社会排斥，这些歧视和社会排斥增加了不公平社会条件下的脆弱性。目标:我们的项目旨在创建一个可访问的多语言残疾试点网站，构建和整合有关残疾人的数据，并为国家和国际残疾倡导团体提供数据。该平台将被赋予带有混合(自动和手动)段落标签的文档上传功能，而查询功能将涉及支持语言的智能自然语言搜索。方法:我们设计并实现了一个虚拟社区平台，使用Wikibase、语义Web、机器学习和Web编程工具，使残疾人社区能够上传和搜索残疾人文档。平台数据模型基于我们根据《联合国残疾人权利公约》(CRPD)设计的本体。虚拟社区促进了有效信息的上传和共享，并通过传播知识支持残疾人权利倡导。结果:使用健康信息学和人工智能技术(即语义Web、机器学习和自然语言处理技术)，我们能够开发一个试点虚拟社区，通过促进上传、共享和访问残疾数据来支持残疾人权利倡导。 The system consists of a website on top of a Wikibase (a Semantic Web–based datastore). The virtual community accepts 4 types of users: information producers, information consumers, validators, and administrators. The virtual community enables the uploading of documents, semiautomatic tagging of their paragraphs with meaningful keywords, and validation of the process before uploading the data to the disability Wikibase. Once uploaded, public users (information consumers) can perform a semantic search using an intelligent and multilingual search engine (QAnswer). Further enhancements of the platform are planned. Conclusions: The platform ontology is flexible and can accommodate advocacy reports and disability policy and legislation from specific jurisdictions, which can be accessed in relation to the CRPD articles. The platform ontology can be expanded to fit international contexts. The virtual community supports information upload and search. Semiautomatic tagging and intelligent multilingual semantic search using natural language are enabled using artificial intelligence techniques, namely Semantic Web, machine learning, and natural language processing. SN - 2561-326X UR - https://formative.www.mybigtv.com/2021/11/e33335 UR - https://doi.org/10.2196/33335 UR - http://www.ncbi.nlm.nih.gov/pubmed/34738910 DO - 10.2196/33335 ID - info:doi/10.2196/33335 ER -