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Embracing Complex Interfaces Linking Deep Maps and Virtual Interiors to Big Data of the Dutch Golden Age.
Weixuan Li1, Chiara Piccoli2, Charles van den Heuvel1,2
1Huygens Institute for the History of the Netherlands, The Netherlands; 2University of Amsterdam, The Netherlands
Although semantic web technologies are gradually introduced in the digital humanities and cultural heritage institutions the representation of linked data is still very abstract and hardly allows for interactions by researchers or other users.Here we present the first experiments with the creation of complex 2d/3d/4d interfaces on top of the Semantic Web, that express uncertainties in/allow users to interact critically in multiple ways with data. The 2D interface aims to preserve and present the complexities rooted in historical sources through deep mapping. It aims at the visualization and analysis of migration pattern of the creative individuals within Amsterdam during the Dutch Golden Age. The 3D/4D interfaces, which anchored at the GIS deep map layers, will act as an interactive hub to connect the heterogeneous data that are available on 17th century creative industries in a spatially coherent context.
Discoverable Data Models and Extended Text Properties in the CITE Architecture
Christopher William Blackwell1,3, David Neel Smith2,3
1Furman University, United States of America; 2College of the Holy Cross, United States of America; 3The Homer Multitext, Center for Hellenic Studies of Harvard University, United States
The CITE Architecture is a generic framework for identification, retrieval, and alignment of information about things humanists study. The challenge of a generic framework lies in how it can handle the innumerable specific kinds of data likely to appear in any non-trivial digital library. This paper will describe the implementation of Discoverable Data Models and Extended Text Property Types serialized in the CEX line-oriented, plain-text format and implemented in applications. Specific examples will be (a geo-spatial data in different formats (b) textual data in different markup encodings, and (c) image collections, where the same image may be exposed as a JPG on a filesystem, via the IIIF-API, or as a DeepZoom file.
A Techno-Human Mesh for Humanities in France: Dealing with preservation complexity
Nicolas Larrousse, Joel Marchand
Huma-Num CNRS (Centre National de la Recherche Sientifique), France
Nowadays, as the use of digital data for research in Humanities has become the norm, researchers are dealing with a huge amount of data. As a consequence, the risk of data loss is increasing. Another difficulty is to provide full access to this flood of data to users often located in distant areas. These problems can no longer be addressed individually by researchers or even at a laboratory level: it is therefore necessary to use a technical infrastructure with specific skills to provide stable preservation services.
This paper will present the implementation of a preservation system in France, branded “Huma-Num-Box”, which aims to address these challenges. This solution is proposed by Huma-Num, the French national infrastructure dedicated to Digital Humanities.