Graph-based automatic suggestion of relationships among images of illuminated manuscripts

  • Authors:
  • Maristella Agosti;Nicola Ferro;Nicola Orio

  • Affiliations:
  • University of Padova, Padova, Italy;University of Padova, Padova, Italy;University of Padova, Padova, Italy

  • Venue:
  • Proceedings of the 2006 ACM symposium on Applied computing
  • Year:
  • 2006

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Abstract

Scientific research on illuminated manuscripts includes the disclosure of relationships among images belonging to different manuscripts. Relationships can be modeled as typed links, which induce an hypertext over the archive. In this paper we present a formal model for annotations, which is the basis to build methods for automatically processing existing relationships among link types and exploiting the properties of the graph which models the hypertext. The result of this processing is twofold: new relationships can be suggested to help users in their research work, and the existing ones can be semantically validated to check for inconsistencies.