Text Categorization for Generation of a Historical Shipbuilding Ontology

  • Galina Artemova
  • Kirill Boyarsky
  • Dmitri Gouzévitch
  • Natalia Gusarova
  • Natalia Dobrenko
  • Eugeny Kanevsky
  • Daria Petrova
Part of the Communications in Computer and Information Science book series (CCIS, volume 468)


This paper deals with the task of developing a text corpus for the automatic generation of a historical shipbuilding domain ontology. Standard methods of analysis produce unsatisfactory results due to the limited nomenclature of available texts and lexical evolution of language. In this work, a parser developed by authors is used for lemmatization and word-sense disambiguation. The parser is based on an external classifier and provides the unambiguous relationship between each lexeme and class. The documents are represented as vectors in the topic space. The experiments show that the proposed method of categorization produces results very close to the expert opinion and at the same time is sufficiently resistant to the historical dynamics of the vocabulary.


Text categorization historical shipbuilding domain ontology parsing space of topics 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Galina Artemova
    • 1
  • Kirill Boyarsky
    • 1
  • Dmitri Gouzévitch
    • 2
  • Natalia Gusarova
    • 1
  • Natalia Dobrenko
    • 1
  • Eugeny Kanevsky
    • 3
  • Daria Petrova
    • 1
  1. 1.Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University)Saint PetersburgRussia
  2. 2.Centre d’Etudes du Monde russe, caucasienne centre-européen, École des hautes études en sciences socialesParisFrance
  3. 3.Saint Petersburg Institute for Economics and MathematicsRussian Academy of SciencesSaint PetersburgRussia

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