Ensayo de un Sistema de Extracción de Información (técnica de Inteligencia Artificial) en un Centro de Información especializado en Sanidad Vegetal

Authors

  • Ingrid Paz García

Keywords:

Sistemas expertos, Inteligencia artificial, Procesamiento del lenguaje natural, Sanidad vegetal

Abstract

Se confeccionaron automáticamente reglas que sirven para el proceso de extraer información de textos con resúmenes de artículos de información científica acerca de Control de Plagas de Plantas del Instituto de Investigaciones de Sanidad Vegetal. Para el desarrollo de la misma se tomó como punto de partida el sistema CRYSTAL, que induce automáticamente a través de ejemplos un conjunto de reglas para el análisis de textos en dominios específicos. El sistema desarrollado para lograr el objetivo propuesto fue denominado SEISAV (Sistema de Extracción de Información en Sanidad Vegetal).

Author Biography

Ingrid Paz García

  1. Ciudad de la Habana, Cuba (1971). Ingeniero. Ha trabajado en el Centro de Información y Documentación del Instituto de Investigaciones de Sanidad Vegetal realizando actividades relacionadas con la especialidad, contribuyendo al perfeccionamiento de los procesos, productos y servicios de la biblioteca en el campo de la investigación científica. Actualmente trabaja en la Dirección Nacional del Grupo de Turismo Gaviota SA. en la Dirección de Informática y Comunicaciones, administrando la pagina web y la intranet, asi como evaluando sistemas de aplicaciones de gestión de información y del conocimiento.

References

- Appelt, D. E. y D. J. Israel. 1999. «Introduction to Information Extraction Technology. A tutorial prepared for IJCAI-99». Artificial Intelligence Center. SRI International. http://www.ai.mit.edu/people/jimmylin/papers/intro-to-ie.pdf

- Glickman, O. y Rosie Jones. 1999. Examining Machine Learning for Adaptable End-to-End Information Extraction Systems. [ml4ie.glickman&jones.pdf] AAAI-99. Workshop on Machine Learning for Information Extraction. USA. http://www.aaai.org/ Conferences/National/1999

- Hernández, Z., J. Pérez y O. Santana. Extracción de Información._ España: Universidad de las Palmas de Gran Canaria. Grupo de Estructuras de Datos y Lingüística Computacional. http://www.gedlc.ulpgc.es/docencia/ seminarios/pln/Extraccion_de_informacion/sld032.htm

- Morales, Eduardo. Inteligencia Artificial. México: Instituto Tecnológico y de Estudios Superiores de Monterrey. Campus Morelos, 1999. w3.mor.itesm.mx/~emorales/Cursos/RdeC/node10.html.

- Ruíz, Rafael. El análisis documental: bases terminológicas, conceptualización y estructura operativa. España: Universidad de Granada, 1992.

- Soderland, S.; D. Fisher, J. Aseltine y Wendy Lehnert. 1995. Crystal: Inducing a Conceptual Dictionary. Proceedings of the fourteenth International Joint Conference on Artificial Intelligence. IJCAI-95. http://www-nlp.cs.umass.edu/ciir-pubs/soderland_ijcai95.pdf

- Soderland, S. 1997. Learning text analysis rules for domain-specific natural language processing. Submitted to the Graduate School of the University of Massachusetts Amherst in partial fulfillment of the requirements for the degree of Doctor of Philosophy. Computer Science Department at the University of Massachusetts.

- Universidad de Sheffield. Information Extraction. Grupo de Procesamiento del Lenguaje Natural. Departamento de Ciencias de la Computación. 2002. http://nlp.shef.ac.uk/research/areas/ie.html

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Published

2004-12-30

How to Cite

Paz García I. (2004). Ensayo de un Sistema de Extracción de Información (técnica de Inteligencia Artificial) en un Centro de Información especializado en Sanidad Vegetal. Biblios Journal of Librarianship and Information Science, (20), 14–28. Retrieved from https://biblios.ufes.br/biblios/article/view/1622

Issue

No. 20 (2004)

Section

Original

License

Copyright (c) 2026 Ingrid Paz García

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