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  • × author_ss:"Emery, D."
  • × theme_ss:"Metadaten"
  1. Toth, M.B.; Emery, D.: Applying DCMI elements to digital images and text in the Archimedes Palimpsest Program (2008) 0.02 
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    Abstract
    The digitized version of the only extant copy of Archimedes' key mathematical and scientific works contains over 6,500 images and 130 pages of transcriptions. Metadata is essential for managing, integrating and accessing these digital resources in the Web 2.0 environment. The Dublin Core Metadata Element Set meets many of our needs. It offers the needed flexibility and applicability to a variety of data sets containing different texts and images in a dynamic technical environment. The program team has continued to refine its data dictionary and elements based on the Dublin Core standard and feedback from the Dublin Core community since the 2006 Dublin Core Conference. This presentation cites the application and utility of the DCMI Standards during the final phase of this decade-long program. Since the 2006 conference, the amount of data has grown tenfold with new imaging techniques. Use of the DCMI Standards for integration across digital images and transcriptions will allow the hosting and integration of this data set and other cultural works across service providers, libraries and cultural institutions.
    Source
    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
    Type
    a
  2. Koho, M.; Burrows, T.; Hyvönen, E.; Ikkala, E.; Page, K.; Ransom, L.; Tuominen, J.; Emery, D.; Fraas, M.; Heller, B.; Lewis, D.; Morrison, A.; Porte, G.; Thomson, E.; Velios, A.; Wijsman, H.: Harmonizing and publishing heterogeneous premodern manuscript metadata as Linked Open Data (2022) 0.00 
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    Abstract
    Manuscripts are a crucial form of evidence for research into all aspects of premodern European history and culture, and there are numerous databases devoted to describing them in detail. This descriptive information, however, is typically available only in separate data silos based on incompatible data models and user interfaces. As a result, it has been difficult to study manuscripts comprehensively across these various platforms. To address this challenge, a team of manuscript scholars and computer scientists worked to create "Mapping Manuscript Migrations" (MMM), a semantic portal, and a Linked Open Data service. MMM stands as a successful proof of concept for integrating distinct manuscript datasets into a shared platform for research and discovery with the potential for future expansion. This paper will discuss the major products of the MMM project: a unified data model, a repeatable data transformation pipeline, a Linked Open Data knowledge graph, and a Semantic Web portal. It will also examine the crucial importance of an iterative process of multidisciplinary collaboration embedded throughout the project, enabling humanities researchers to shape the development of a digital platform and tools, while also enabling the same researchers to ask more sophisticated and comprehensive research questions of the aggregated data.
    Type
    a

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