< Back to list

Integrating and Visualizing Humanities and Heritage Science Data

conferencePaper

DOI:10.1109/DigitalHeritage.2018.8810031
Authors: France Fenella G.

Extracted Abstract:

—The capture of digital data for cultural heritage includes multidisciplinary data types, analyses and formats from many diverse fields; including materials science, archeology, botany, biology, engineering, physics and chemistry, to name but a few. The continued challenge for digital data in any discipline is sustainable access and the capacity for a more integrated approach to linked data, including high level metadata to enable searchability. Many related fields and disciplines have begun to focus on the need to integrate and assess approaches from other scientific disciplines while also engaging with humanities colleagues who utilize the same information from different perspectives. An initiative for linked scientific data generated from heritage materials has been developed within the Library of Congress Preservation Research and Testing Division. This database integrates multiple scientific analyses all linked back to the original heritage object. For ease of access, a visualization interface integrating humanities and heritage science creates a “digital cultural object” with layers of integrated and linked data. These digital initiatives include, the Center for Linked Analytical Scientific Samples – Digital (CLASS-D) – an infrastructure enabling the unique capability to link a range of types of scientific instrumental analyses back to original source materials, expanding the capability for managing web-accessible access to heritage collections; and the Data Visualization Project (DVP) visual interface. Keywords—linked data, heritage science, visualization of scientific data I.

Level 1: Include/Exclude

  • Papers must discuss situated information visualization* (by Willet et al.) in the application domain of CH.
    *A situated data representation is a data representation whose physical presentation is located close to the data’s physical referent(s).
    *A situated visualization is a situated data representation for which the presentation is purely visual – and is typically displayed on a screen.
  • Representation must include abstract data (e.g., metadata).
  • Papers focused solely on digital reconstruction without information visualization aspects are excluded.
  • Posters and workshop papers are excluded to focus on mature research contributions.
Show all meta-data