Cultural heritage documentation induces the use of computerized techniques to manage and preserve the information produced. Geographical information systems have proved their potentialities in this scope, but they are not always adapted for the management of features at the scale of a particular archaeological site. Moreover, computer applications in archaeology are often technology driven and software constrained. Thus, we propose a tool that tries to avoid these difficulties. We are developing an information system that works over the Internet and that is joined with a web site. Aims are to assist the work of archaeological sites managers and to be a documentation tool about these sites, dedicated to everyone. We devote therefore our system both to the professionals who are in charge of the site, and to the general public who visits it or who wants to have information on it. The system permits to do exploratory analyses of the data, especially at spatial and temporal levels. We propose to record metadata about the archaeological features in XML and to access these features through interactive 2D and 3D representations, and through queries systems (keywords and images). The 2D images, photos, or vectors are generated in SVG, while 3D models are generated in X3D. Archaeological features are also automatically integrated in a MySQL database. The web site is an exchange platform with the information system and is written in PHP. Our first application case is the medieval castle of Vianden, Luxembourg.
The "Collections as ML Data" Checklist for Machine Learning & Cultural Heritage
University of Washington（华盛顿大学）
在文化遗产部门，在将机器学习技术应用于数字收藏时，越来越多地协同努力考虑关键的社会技术视角。虽然文化遗产界已经集体开发了一套新的工作，详细说明了图书馆和其他文化遗产机构在组织层面上负责机器学习的操作，但仍然缺乏专门为从事机器学习项目的从业人员制定的指导方针。将机器学习应用于文化遗产所涉及的多方面利害关系和敏感性强调了制定此类指南的重要性。本文通过制定一个详细的清单，指导问题和做法，可以采用，而开发一个机器学习项目，利用文化遗产数据，有助于这一需要。我将生成的检查表称为“Collections as ML Data”检查表，完成后，可以与项目的可交付成果一起发布。通过调查现有的项目，包括我自己的项目Newspaper Navigator，我证明了“收集ML数据”清单的合理性，并展示了如何使用和操作制定的指导问题。
Rich Interoperable Metadata for Cultural Heritage Projects at Jagiellonian University
Department of Human-Centered Artificial Intelligence, Institute of Applied Computer Science, Faculty of Physics, Astronomy and Applied Computer Science（人类中心人工智能系、应用计算机科学研究所、物理、天文学与应用计算机科学学院）；Lukasiewicz Research Network -- Institute of Innovative Technologies EMAG（卢卡西维茨研究网络——创新技术EMAG研究所）
Augmenting Italian Cultural Heritage with Virtual and Digital Technologies: the final outcomes of Project CHANGES' Spoke 4
University of Bologna（博洛尼亚大学）；University of Suor Orsola Benincasa（苏奥尔索拉贝宁卡萨大学）；University of Turin（都灵大学）；National Research Council（国家研究委员会）；Robin Studio（罗宾工作室）
Saving temporary exhibitions in virtual environments: the Digital Renaissance of Ulisse Aldrovandi -- acquisition and digitisation of cultural heritage objects
Cloud-based digitization workflow with rich metadata acquisition for cultural heritage objects
Department of Human-Centered Artificial Intelligence, Institute of Applied Computer Science, Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University（以人为本的人工智能系、应用计算机科学研究所、物理、天文学和应用计算机科学学院，雅盖隆大学）；Faculty of Humanities, AGH University of Krakow（人文学院，克拉科夫AGH大学）
From Queries to Narratives: Cultural Heritage Data Stories for Knowledge Graph Exploration and Quality Assessment
FIZ Karlsruhe – Leibniz Institute for Information Infrastructure（FIZ卡尔斯鲁厄–莱布尼茨信息基础设施研究所）；Institute of Applied Informatics and Formal Description Methods (AIFB) of KIT（卡尔斯鲁厄理工学院应用信息学与形式描述方法研究所）；Academy of Sciences and Literature Mainz（美因茨科学与文学院）
Digital hybridity and relics in cultural heritage: using corpus linguistics to inform design in emerging technologies from AI to VR
School of English, University of Nottingham（诺丁汉大学英语学院）；School of Computer Science, University of Nottingham（诺丁汉大学计算机科学学院）；Department of Modern Languages, Aberystwyth University（阿伯里斯特威斯大学现代语言系）
