Gate-Based Rules for Extracting Attribute Values

Authors

  • Juan Carlos Blandón Andrade Universidad Católica de Pereira
  • Carlos Mario Zapata Jaramillo Universidad Nacional de Colombia Sede Medellín

DOI:

https://doi.org/10.13053/cys-25-4-3493

Keywords:

Automated ontology population, GATE-JAPE patterns, information extraction, natural language processing, ontologies

Abstract

Automated ontology population is intended toenrich ontologies. The main entities of an ontologicalmodel are classes, subclasses, attributes—datatypeproperties—, relationships—object properties—, andinstances. Class instances are important to thescientific community, since some work is devoted toautomatically populating ontologies by using statisticalmethods, information extraction, and natural languageprocessing, among others. The problem is focused onidentifying and extracting attribute values of instances.Commonly, such values have a predefined type likenumeric, string, boolean, etc. The difficulty arises whenyou want to know which instance belongs to such values.In this paper we propose an approach based on NaturalLanguage Processing (NLP) and Information Extraction(IE) technologies for extracting attribute values. We usesyntactic patterns implemented on the GATE (GeneralArchitecture for Text Engineering) tool. The results areindependent of the application domain and they exhibitpromising values of recall, precision, and F-measure.

Author Biographies

Juan Carlos Blandón Andrade, Universidad Católica de Pereira

Programa Ingeniería de Sistemas y TelecomunicacionesProfesor Asociado 

Carlos Mario Zapata Jaramillo, Universidad Nacional de Colombia Sede Medellín

Computer and Decision Science Department Profesor Titular 

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Published

2021-12-02

Issue

Vol. 25 No. 4 (2021): 25(4) 2021: Thematic Issue on Artificial Intelligence for Industry 4.0 (Guest Editors: O. Vergara et al.)

Section

Articles

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