@article{828,
  author = {Maria Niarou, Sofia Stamou},
  title = {Exploring Lexicographic Ontologies for Hierarchically Organizing the Greek Wikipedia Articles},
  journal = {Journal of Digital Information Management},
  year = {2012},
  volume = {10},
  number = {3},
  doi = {},
  url = {dline.info/fpaper/jdim/v10i3/1.pdf},
  abstract = {To effectively manage the proliferating online content, it is imperative that we come up with efficient data structuring and organization methods. Based on the findings of previous research [6] [7] that the most flexible and useful way to organize the online content is via the use of taxonomies and/or ontologies, we carried out the present study, which aims at structuring the content of the Greek Wikipedia via the use of the Greek WordNet. In particular, our study objective is to design a model that can automatically organize the Greek Wikipedia categories into a thematic taxonomy and based on the derived organization, to implicitly assign hierarchical structure to the encyclopedia articles that have been classified to the respective categories. To this end, we relied on the data encoded in Greek WordNet out of which we harvested the hierarchical relations that hold between the terms used to verbalize the Wikipedia categories. The effectiveness of our model is verified by the findings of several experimental evaluations conducted, which demonstrate that semantic networks are powerful resources for hierarchically organizing large volumes of dynamic data.},
}