Informatics and Applications

2021, Volume 15, Issue 1, pp 86-93

REPRESENTATION OF NEW LEXICOGRAPHICAL KNOWLEDGE IN DYNAMIC CLASSIFICATION SYSTEMS

  • A. A. Goncharov
  • I. M. Zatsman
  • M. G. Kruzhkov

Abstract

The distinctive feature of dynamic classification systems is that new categories may be introduced in the course of their use or definitions of existing categories may be modified, including cases of rearranging semantic content between categories. On one hand, this feature of dynamic classification systems provides a possibility to integrate new knowledge on-the-fly and to start using it immediately for linguistic annotation. On the other hand, if a category is changed, then, in some cases, the annotations it has been previously applied to will have to be reclassified. This paper has a twofold purpose, which is, first, to compare approaches to classification of entities based on (i) dynamic classification systems and (ii) ontologies that change over time; and then, second, to describe how new lexicographical knowledge is represented in dynamic classification systems.

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