@inproceedings{BayerlLuengenGoeckeetal.2016,
  author    = {Petra Saskia Bayerl and Harald L{\"u}ngen and Daniela Goecke and Andreas Witt and Daniel Naber},
  title     = {Methods for the semantic analysis of document markup},
  series = {Proceedings of the ACM Symposium on Document Engineering (DocEng 2003)},
  editor    = {C{\´e}cile Roisin and Ethan Munson and Christine Vanoirbeek},
  publisher = {ACM},
  address   = {New York},
  url       = {https://nbn-resolving.org/urn:nbn:de:bsz:mh39-48014},
  pages     = {161 -- 170},
  year      = {2016},
  abstract  = {We present an approach on how to investigate what kind of semantic information is regularly associated with the structural markup of scientific articles. This approach addresses the need for an explicit formal description of the semantics of text-oriented XML-documents. The domain of our investigation is a corpus of scientific articles from psychology and linguistics from both English and German online available journals. For our analyses, we provide XML-markup representing two kinds of semantic levels: the thematic level (i.e. topics in the text world that the article is about) and the functional or rhetorical level. Our hypothesis is that these semantic levels correlate with the articles’ document structure also represented in XML. Articles have been annotated with the appropriate information. Each of the three informational levels is modelled in a separate XML document, since in our domain, the different description levels might conflict so that it is impossible to model them within a single XML document. For comparing and mining the resulting multi-layered XML annotations of one article, a Prolog-based approach is used. It focusses on the comparison of XML markup that is distributed among different documents. Prolog predicates have been defined for inferring relations between levels of information that are modelled in separate XML documents. We demonstrate how the Prolog tool is applied in our corpus analyses.},
  language  = {en}
}