ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume II-5
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-5, 81–88, 2014
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-5, 81–88, 2014

  28 May 2014

28 May 2014

Towards A Knowledge Model Bridging Technologies And Applications In Cultural Heritage Documentation

F. Boochs1, A. Trémeau2, O. Murphy3, M. Gerke4, J.L. Lerma5, A. Karmacharya1, and M. Karaszewski6 F. Boochs et al.
  • 1Institute i3mainz, University oft Applied Sciences, Mainz, Germany
  • 2Laboratoire Hubert Curien, University Jean Monnet, France
  • 3Digital Arts and Humanities, University College Cork, Ireland
  • 4ITC Faculty, EOS department, University of Twente, Enschede, The Netherlands
  • 5Dept. Cartographic Eng., Geodesy and Photogrammetry, Universitat Politecnica de Valencia. Spain
  • 6Faculty of Mechatronics, Warsaw University of Technology, Poland

Keywords: Cultural Heritage, Documentation, Optical, Measurement, Knowledge Base

Abstract. This paper documents the formulation of an international, interdisciplinary study, on a concerted European level, to prepare an innovative, reliable, independent and global knowledge base facilitating the use of today’s and future optical measuring techniques for the documentation of cultural heritage. Cultural heritage professionals, color engineers and scientists share similar goals for the documentation, curation, long-term preservation and representation of cultural heritage artifacts. Their focus is on accuracy in the digital capture and remediation of artefacts through a range of temporal, spatial and technical constraints. A shared vocabulary to interrogate these shared concerns will transform mutual understanding and facilitate an agreed movement forward in cultural heritage documentation here proposed in the work of the COST Action Color and Space in Cultural Heritage (COSCH). The goal is a model that captures the shared concerns of professionals for a standards-based solution with an organic Linked Data model. The knowledge representation proposed here invokes a GUI interface for non-expert users of capture technologies, facilitates, and formulates their engagement with key questions for the field.