Selected Papers of the XIX International Scientific and Practical
Conference "Information Technologies and Security" (ITS 2019).
CEUR Workshop Proceedings (ceur-ws.org). - Vol-2577. - pp 132-145. ISSN 1613-0073.
Determining the Directions of Links in Undirected Networks of Terms
This paper examines and analyzes approaches for constructing network
of terms as an ontological subject domain model. In particular, new approaches
and rules for determining the syntax and semantic links between terms
in the text and the directions of these links between nodes in undirected networks
of terms constructed from terms of a thematic text corpus, are proposed and researched.
Also, one of the methods for creating terminological ontologies . the
algorithm for building the thematic networks of natural hierarchies of terms based
on analysis of texts corpora - is considered and used to build a directed network
of words and phrases (separate unigrams, bigrams and threegrams). The wellknown
fairy tale "The story of Little Red Riding Hood" is provided as examples
to demonstrate an accuracy of the proposed rules. The Python programming language
and its separate functions of a specialized add-in - the module NLTK (Natural
Language Toolkit open source library) is used to create the software realization
of the proposed and considered approaches and methods. Using the software
for modelling and visualization of graphs - Gephi, the built directed networks of
terms were visualized for better visual perception. The proposed approach can be
used for automatically creating terminological ontologies of subject domains
with the participation of experts. Also, the research result can be used to create
personal search interfaces for users of information retrieval systems and also can
be used in navigation systems in databases. It should help users of such systems
simplify the process of searching the relevant information.
Subject Domain, Terminological Ontology, Network of Terms, Horizontal
Visibility Graph, Network of Natural Hierarchies of Terms, Syntax and
Semantic Links, Undirected Network, Directed Network.