Linked.Art: Networking Digital Collections and Scholarship

“Linked.Art：网络数字收藏和学术”汇集了来自英国和美国一些领先艺术博物馆的研究人员和专家。本着技术合作与协作的精神，他们将努力解锁其馆藏中的数据，并为数字学术和公众访问提供变革性的基础。合作伙伴包括大都会艺术博物馆、史密森学会、维多利亚与阿尔伯特博物馆、国家美术馆（美国）、现代艺术博物馆（纽约）、弗里克收藏馆和美国钱币学会。该网络由牛津大学经验丰富的团队提议和支持，该网络本身体现了更广泛网络的多学科方法，建立在电子研究中心、数字奖学金中心以及大学花园图书馆和博物馆之间的合作关系之上：阿什莫林博物馆、博德利图书馆、牛津植物园和植物园、科学史博物馆、自然历史博物馆和皮特河博物馆。该网络活动的核心是 Linked.Art 模型，最初由 J Paul Getty Trust 开发。该模型提供了一个模板，可以通过该模板以一致的方式组织和构建描述艺术作品的数字记录，从而可以比较和组合来自不同文化遗产机构的信息。在技​​术层面上，这使得使用关联数据在全球范围内的藏品之间建立数字连接，从而使计算算法能够协助复杂的学术研究，并提供更直接的发现之旅！研究网络中的专家将共同讨论和辩论机器应如何应用和解释一组标准化的概念和关系，例如艺术品是什么，它描绘了什么，何时创建、出售（或盗窃）和展出。他们将与学者协商，以确保 Linked.Art 模型的相关性和实用性，该模型将支撑这个“数据网络”，从而为数字艺术史和起源奖学金的机会提供一步改变。

'Linked.Art: Networking Digital Collections and Scholarship' brings together researchers and experts from some of the leading art museums in the UK and US. In a spirit of technological cooperation and collaboration they will work to unlock the data within their collections and provide a transformative foundation for digital scholarship and public access. Partners include The Metropolitan Museum of Art, The Smithsonian Institution, The V&A, The National Gallery of Art (US), The Museum of Modern Art (New York), The Frick Collection, and the American Numismatics Society.The network is proposed and supported by an experienced team at the University of Oxford, which itself embodies the multidisciplinary approach of the wider network, building on a partnership between the e-Research Centre, the Centre for Digital Scholarship, and the University's Gardens Libraries and Museums: the Ashmolean Museum, the Bodleian Libraries, Oxford Botanic Garden and Arboretum, the Museum of the History of Science, the Museum of Natural History, and the Pitt Rivers Museum.At the core of the network's activities is the Linked.Art model, initially developed at the J Paul Getty Trust. The model provides a template by which digital records describing works of art can be organised and structured in a consistent manner, so that information from different cultural heritage institutions can be compared and combined. At a technical level, this allows digital connections to be made between collections on a global scale using Linked Data, which in turn can enables computational algorithms to assist complex scholarly investigations - as well as providing for more straightforward voyages of discovery!Experts in the research network will work together to discuss and debate how machines should apply and interpret a standardised set of concepts and relationships - such as what the work of art is, what it depicts, when it was created, sold (or stolen) and exhibited. They will consult with academics to ensure the relevance and utility of the Linked.Art model which will underpins this 'web of data', so providing for a step change in opportunities for digital art history and provenance scholarship.