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引用次数: 13

摘要

威尼斯时光机是由欧洲联邦理工学院和威尼斯Ca'Foscari大学在隆巴德·奥迪埃基金会的慷慨支持下发起的一项国际科学计划。它旨在建立一个多维度的威尼斯模型及其一千多年来的演变。该项目旨在重建一个可用于研究和教育的大型开放存取数据库。由于与威尼斯国家档案馆的合作,目前有数公里的档案被数字化、转录和索引,建立了有史以来最大的威尼斯文件数据库的基础。威尼斯国家档案馆保存着大量从中世纪到20世纪演变而来的各种语言的手写文件。大约80公里的书架上摆满了上千年来的行政文件,从出生登记、死亡证明和纳税申报表,一直到地图和城市规划设计。这些文件通常非常精致,偶尔处于脆弱的保存状态。作为对这些主要来源的补充,数以千计的专著的内容已被编入索引并可供搜索。在威尼斯时光机器项目中数字化的文件错综复杂地交织在一起,当它们相互参照时,讲述了一个更丰富的故事。通过结合这些大量的信息,可以重建城市过去的大部分:完整的传记,政治动态,甚至建筑物和整个社区的外观。从一次和二次资源中提取的信息被组织成一个关联数据的语义图,并在空间和时间上展开在一个历史地理信息系统中。由此产生的平台可以用于研究和教育。大约有100名研究人员和学生已经在这个项目上合作。威尼斯每年都会组织一个博士学院,目前有几个学士和硕士课程使用威尼斯时间机器所产生的数据。通过所有这些举措,威尼斯时光机探索了“过去的大数据”如何改变历史科学的研究和教育,希望为一种可以应用于许多其他城市和档案馆的通用方法铺平道路。
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The Venice Time Machine
The Venice Time Machine is an international scientific programme launched by the EPFL and the University Ca'Foscari of Venice with the generous support of the Fondation Lombard Odier. It aims at building a multidimensional model of Venice and its evolution covering a period of more than 1000 years. The project ambitions to reconstruct a large open access database that could be used for research and education. Thanks to a parternship with the Archivio di Stato in Venice, kilometers of archives are currently digitized, transcribed and indexed setting the base of the largest database ever created on Venetian documents. The State Archives of Venice contain a massive amount of hand-written documentation in languages evolving from medieval times to the 20th century. An estimated 80 km of shelves are filled with over a thousand years of administrative documents, from birth registrations, death certificates and tax statements, all the way to maps and urban planning designs. These documents are often very delicate and are occasionally in a fragile state of conservation. In complementary to these primary sources, the content of thousands of monographies have been indexed and made searchable. The documents digitised in the Venice Time Machine programme are intricately interweaved, telling a much richer story when they are cross-referenced. By combining this mass of information, it is possible to reconstruct large segments of the city's past: complete biographies, political dynamics, or even the appearance of buildings and entire neighborhoods. The information extracted from the primary and secondary sources are organized in a semantic graph of linked data and unfolded in space and time in an historical geographical information system. The resulting platform can serve for both research and education. About a hundred researchers and students collaborate already on this programme. A doctoral school is organised every year in Venice and several bachelor and master courses currently use the data produced in the context of the Venice Time Machine. Through all these initiatives, the Venice Time Machine explores how "big data of the past" can change research and education in historical sciences, hopefully paving the way towards a general methodology that could be applied to many other cities and archives.
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