PAPYRUS - Cultural and Historical Digital Libraries Dynamically Mined from News Archives
Project website:  PAPYRUS 
Principal Investigator: Yannis Ioannidis
Duration: 01/03/2008 - 31/08/2010

Τhe Papyrus project introduces the concept of a Cross- Discipline Digital Library Engine. It intends to be a dynamic digital library which will understand user queries in the context of a specific discipline, look for content in a domain alien to that discipline and return the results presented in a way useful and comprehensive to the user. To be able to achieve this, the source content has to be ‘understood’, which means analysed and modelled according to a domain ontology. The user query also has to be "understood" and analysed following a model of this different discipline. Correspondences will then have to be found between the model of the source content and the realm of the user knowledge. Finally, the results have to be presented to the users in a useful and comprehensive manner according to their own "model of understanding".

Papyrus intends to showcase this approach with a specific pair of disciplines which can be illustrated as an apparent need and may prove to be an immediate exploitation opportunity even on its own. This proposed use case is the recovery of history from news digital content. The rational behind this selection is that vast amounts of digital news content exist in huge archives, which, although being of incredible value, are underused as they are not easily searchable and do not have a significant worth if seen as individual news items.

In particular, Papyrus intends to target the following Scientific & Technological objectives in order to reach the goal of the cross-discipline digital library engine outlined in the previous section:

  • Advance the State of the Art in semantic multimedia analysis, by introducing knowledge assisted methods which will take advantage of existing metadata and content structure models for the understanding of the source content
  • Propose context sensitive query processing methods, for the understanding of the user demands
  • Implement tools for automating the process of knowledge mapping, for corresponding concepts between the source content and the user queries
  • Develop presentation techniques, for delivering the results in a manner comprehensive to the targeted users
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