Automatic Method Of Domain Ontology Construction based on Characteristics of Corpora POS-Analysis

TL;DR

This paper presents a semi-automatic approach for constructing domain ontologies from text corpora, utilizing POS tagging, linguistic pattern recognition, and template-based extraction to streamline ontology development.

Contribution

It introduces a novel semi-automatic method combining linguistic analysis and template matching for efficient ontology construction from domain-specific texts.

Findings

Effective extraction of domain concepts from radiological protection texts

Reduction in manual effort for ontology development

Improved robustness and completeness of the resulting ontology

Abstract

It is now widely recognized that ontologies, are one of the fundamental cornerstones of knowledge-based systems. What is lacking, however, is a currently accepted strategy of how to build ontology; what kinds of the resources and techniques are indispensables to optimize the expenses and the time on the one hand and the amplitude, the completeness, the robustness of en ontology on the other hand. The paper offers a semi-automatic ontology construction method from text corpora in the domain of radiological protection. This method is composed from next steps: 1) text annotation with part-of-speech tags; 2) revelation of the significant linguistic structures and forming the templates; 3) search of text fragments corresponding to these templates; 4) basic ontology instantiation process