Semi-automatic extraction and validation of concepts in ontology learning from texts in Spanish

Abstract

The construction of ontologies from texts in Spanish is a challenge since this language lacks conceptual databases to validate abstract ontology structures as concepts and relations between them. The preceding generates the necessity of using manual evaluation by human experts; carrying high expenses that limit the calibration of algorithm parameters and large-scale evaluations. This document presents a proposal to evaluate abstract ontology structures through the task of semantic clustering of documents, without the expensive necessity of using manual evaluation or conceptual databases. The proposal is not only affordable but also applicable to model data and domains that lack structured knowledge resources. The experiments lead to the extraction and validation of the ontology structures from texts in Spanish regarding the domain of the Colombian armed conflict.