A Metric for the Evaluation of Restricted Domain Ontologies

Authors

  • Mireya Tovar Vidal Benemérita Universidad Autónoma de Puebla
  • David Eduardo Pinto Avendaño Benemérita Universidad Autónoma de Puebla
  • Azucena Montes Rendón Instituto Tecnol\'ogico de Tlalpan
  • Juan Gabriel González Serna Centro Nacional de Investigación y Desarrollo Tecnológico (CENIDET)

DOI:

https://doi.org/10.13053/cys-22-1-2792

Keywords:

Ontology evaluation, format concept analysis, syntactic patterns

Abstract

In this article, we propose a metric for the automatic evaluation of restricted domain ontologies. The metric is defined in terms of the evaluation of different lexico-syntactic, statistical and semantic approaches. A syntactic approach employed is the use of lexical syntactic patterns, other approaches as grouping by formal concept analysis, similarity, latent semantic analysis and dependence graphs are used as well. These approaches focus on reference corpora to find evidence of the validity of concepts and semantic relationships stored in the target ontology. The proposed evaluation approach is able to provide a score obtained through the metric, which is based on the accuracy measure used for each ontology evaluated. The score is associated in some way with the ontology quality. This score is given with a certain degree of reliability, and it is obtained by comparing the results given against the evaluation of human experts and a baseline.

Author Biographies

Mireya Tovar Vidal, Benemérita Universidad Autónoma de Puebla

Facultad de Ciencias de la Computación

David Eduardo Pinto Avendaño, Benemérita Universidad Autónoma de Puebla

Facultad de Ciencias de la Computación

Downloads

Additional Files

Published

2018-03-30

Issue

Vol. 22 No. 1 (2018): Thematic Issue on Language & Knowledge Engineering (Guest Editors: D. Pinto, D. Vilariño, B. Beltrán)

Section

Articles of the Thematic Issue

License 

Hereby I transfer exclusively to the Journal "Computación y 
Sistemas", published by the Computing Research Center (CIC-IPN),
the Copyright of the aforementioned paper. I also accept that these 
rights will not be transferred to any other publication, in any other 
format, language or other existing means of developing.
I certify that the paper has not been previously disclosed or simultaneo
usly submitted to any other publication, and that it does not contain 
material whose publication would violate the Copyright or other 
proprietary rights of any person, company or institution. I certify that 
I have the permission from the institution or company where I work or 
study to publish this work.
The representative author accepts the responsibility for the publication
of this paper on behalf of each and every one of the authors. 
This transfer is subject to the following conditions:
  • The authors retain all ownership rights (such as patent rights) of this work, except for the publishing rights transferred to the CIC, through this document.
  • Authors retain the right to publish the work in whole or in part in any book they are the authors or publishers. They can also make use of this work in conferences, courses, personal web pages, and so on.
  • Authors may include working as part of his thesis, for non-profit distribution only.