TheHague112012Minutes

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Participants

First day

Moritz Wissenbach

  • CS background
  • interests
    • genetic edition
    • TEI/XML
    • alternative text models
  • projects

Jorge Urzua

  • CS background
  • interests
    • medadata representation in form of a graph
    • knowledge representation
  • projects
    • Max-Planck Inst.
    • Europeana
    • OpenMind project

Alex Czmiel

Ronald Haentjens-Dekker Huygens Institute for the History of the Netherlands The panel convenor

Gregor Middell IT and contemp. lit. background Faust project http://gregor.middell.net/ http://www.juxtacommons.org/

Paolo Monella Accademia dei Lincei, Rome Orlandi's textual layers prototype

Tara Andrews , UK and US background byzantine stemmatology text collation and text variation

Federico Meschini library information science and IT background digital libraries and open educational resources

21/11/2012, Morning

Discussion on text modelling.

Two main alternatives to XML:

  • range based model (for annotations)
  • variant graph (for collation)

Tara is using (with Collatex) a graph-based model more complex sthan Schmidt's one.

Paolo is interested in a text model that can represent textual layers (graphical, alphabetical, linguistic).

  • Tara: we can stretch Schmidt's graph to represent the different Orlandi's layers. They're still graphs

Gregor: not variant graphs; they're not variants

Gregor introduces the range-based model and LMNL in particular

Alex has made his master's thesis on LMNL

LMNL seems to be good for Orlandi's 'textual layers'

  • practicality: what can we build on top of e.g. a range-based model (from the datastore to the presentation layer)
  • query/search functions on top of a text model
  • variant graph vs. range-based models
  • processing (equivalent to XSLT?), querying (equivalent to XPath/XQuery)
  • variant graph: traversal patterns?
  • interfaces, APIs, JS libraries
  • problem of variation and how it is handled on different (conceptual) layers of a text
  • common model? can we find a generalized model incorporating features from the variant graph and a range-based model
  • bridge the gap!
  • integration scenarios; import of existing data, multiple use cases on top of those (what is the smallest thing that could possibly work? -- how do we get there)

TheHague112012DivisionOfLabour