< Back to list

ArchaeoGRID, a GRID for Archaeology

conferencePaper

DOI:10.1109/NSSMIC.2004.1462676
Authors: Pelfer P.G. / Barcelo J.A. / McDonaill C. / Pelfer G.

Extracted Abstract:

- The approach of modern archaeology to the study of the evolution of ancient human societies is based on the acquisition and analysis of many types of data. It is well known that in archaeology large use is done of digital technologies and computer applications for data acquisition, storage, analysis and visualization. The amount of information coming from remote sensing, from acquisition of 3-D artifacts images by scanners laser, from GPS precise reference of geographical points and from other sciences are increasing at a large extent the amount of data that it need to be stored and made available for analysis. Such data must, however, be analyzed if they are to become valuable information and knowledge. The data analysis use advanced methods developed in mathematics, informatics, and physics and in other natural and human sciences. Moreover the use of Virtual Archaeology as a new approach to the narration and visualization in Archaeology, is expanding rapidly, not only in the museum and archaeology professions, but also in the broadcast media, tourism and heritage industries. The inevitable result of this is an exponential increase of the amount and complexity of information that must be acquired, transferred, stored, processed and analyzed. From another side natural disasters, wars and terrorism created enormous damages to the archaeological heritage and in many case destroyed definitively all information about ancient civilizations. It is urgent a long term project for acquiring at least the archaeological information. The paper presents a proposal for an ArchaeoGRID that, using the GRID technology developed at CERN, will develop a GRID capable of fitting the very challenging requests of archaeology. 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