| Revista: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000560618 |
| ISSN: | 1405-5546 |
| Autores: | Blandón Andrade, Juan Carlos1 Zapata Jaramillo, Carlos Mario2 |
| Instituciones: | 1Universidad Católica de Pereira, Programa de Ingeniería de Sistemas y Telecomunicaciones, Risaralda. Colombia 2Universidad Nacional de Colombia, Facultad de Minas, Colombia |
| Año: | 2021 |
| Periodo: | Oct-Dic |
| Volumen: | 25 |
| Número: | 4 |
| Paginación: | 851-862 |
| País: | México |
| Idioma: | Inglés |
| Resumen en inglés | Automated ontology population is intended to enrich ontologies. The main entities of an ontological model are classes, subclasses, attributes (datatype properties), relationships (object properties), and instances. Class instances are important to the scientific community, since some work is devoted to automatically populating ontologies by using statistical methods, information extraction, and natural language processing, among others. The problem is focused on identifying and extracting attribute values of instances. Commonly, such values have a predefined type like numeric, string, boolean, etc. The difficulty arises when you want to know which instance belongs to such values. In this paper we propose an approach based on Natural Language Processing (NLP) and Information Extraction (IE) technologies for extracting attribute values. We use syntactic patterns implemented on the GATE (General Architecture for Text Engineering) tool. The results are independent of the application domain and they exhibit promising values of recall, precision, and F-measure. |
| Keyword: | Automated ontology population, GATE-JAPE patterns, Information extraction, Natural language processing, Ontologies |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
