一句话：报告威尼斯时间机器项目：通过大规模数字化与深度学习将文化遗产转化为历史大数据，并扩展为欧洲分布式数字信息系统。
论文介绍威尼斯时间机器项目：为将威尼斯文化遗产转化为“过去的大数据”，EPFL与威尼斯大学启动大规模数字化计划，扫描威尼斯国家档案馆与Giorgio Cini基金会的数百万登记册页面和照片。项目利用EPFL数字人文实验室的深度学习人工智能方法，提取文本与图像内容，并通过搜索引擎提供访问。该计划已扩展至欧洲范围，联合500多家机构和20座新城市构建分布式数字信息系统，映射欧洲社会、文化与地理演变，并依托Europeana加速发展。Time Machine旨在设计先进数字化与AI技术，挖掘欧洲丰富文化遗产，提供公平免费的信息访问，支持未来科学与技术发展。
In 2012, the Ecole Polytechnique Fédérale de Lausanne (EPFL) and the University Ca'Foscari launched a program called the Venice Time Machine, whose goal was to develop a large-scale digitisation program to transform Venice's heritage into 'Big Data of the Past'. Millions of register pages and photographs have been scanned at the State Archive in Venice and at the Fondazione Giorgio Cini. These documents were analysed using the deep-learning artificial-intelligence methods developed at EPFL's Digital Humanities Laboratory in order to extract their textual and iconographic content and to make the data accessible via a search engine. The project has now expand to a European scale, including more than 500 institutions and 20 new cities jointly constructing a distributed digital information system mapping the social, cultural and geographical evolution of Europe. The project build upon existing platforms such as Europeana, and accelerate their development. While Europeana drives transformation throughout the cultural heritage sector with innovative standards, infrastructure and networks, Time Machine aims to design and implement advanced new digitisation and artificial intelligence technologies to mine Europe's vast cultural heritage, providing fair and free access to information that will support future scientific and technological developments in Europe.
DOI 原文 ·
@inproceedings{paperbot5419,
title = {Big Data of the Past, from Venice to Europe},
author = {Frédéric Kaplan},
booktitle = {ASPLOS},
year = {2020},
doi = {10.1145/3373376.3380611}
}