论文标题
QURATOR：用于内容和数据策划的创新技术
QURATOR: Innovative Technologies for Content and Data Curation
论文作者
论文摘要
在所有领域和扇区中，对智能系统的需求支持数字内容的处理和生成正在迅速增加。大量内容的可用性以及快速和快速连续发布新内容的压力需要更快，更高效，更智能的处理和生成方法。由来自研究和行业的十个合作伙伴组成的联盟，以及由德国联邦教育和研究部资助的AI，机器学习和语言技术领域的广泛专业知识，开发了可持续和创新的技术平台，该平台提供了一个服务，提供服务，以支持各种行业的知识工作者在策划数字内容时面临各种挑战的知识工作者。该项目的愿景和野心是为内容策划技术建立一个生态系统，该系统极大地推动了当前的现状，并将其地区的大都市柏林 - 布兰登堡（Berlin-Brandenburg）转变为全球策划技术中心。
In all domains and sectors, the demand for intelligent systems to support the processing and generation of digital content is rapidly increasing. The availability of vast amounts of content and the pressure to publish new content quickly and in rapid succession requires faster, more efficient and smarter processing and generation methods. With a consortium of ten partners from research and industry and a broad range of expertise in AI, Machine Learning and Language Technologies, the QURATOR project, funded by the German Federal Ministry of Education and Research, develops a sustainable and innovative technology platform that provides services to support knowledge workers in various industries to address the challenges they face when curating digital content. The project's vision and ambition is to establish an ecosystem for content curation technologies that significantly pushes the current state of the art and transforms its region, the metropolitan area Berlin-Brandenburg, into a global centre of excellence for curation technologies.
