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Moreno, D. C., & Lombardo, M. V. (2018). Ontología y Procesamiento de Lenguaje Natural. KnE Engineering, 3(2), 492-501. https://doi.org/10.18502/keg.v3i1.1453

https://doi.org/10.18502/keg.v3i1.1453

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authors

  • Denis Cedeño Moreno

    Denis Cedeño Moreno

    Grupo de Investigación en Salud Electrónica y Supercomputación, Universidad Tecnológica de Panamá
  • Miguel Vargas Lombardo

    Miguel Vargas Lombardo

    Grupo de Investigación en Salud Electrónica y Supercomputación, Universidad Tecnológica de Panamá

Published Date

  • Feb 11, 2018

Ontología y Procesamiento de Lenguaje Natural

KnE Engineering / 6th Engineering, Science and Technology Conference - Panama 2017 (ESTEC 2017) / Pages 492-501

Abstract

At present, the convergence of several areas of knowledge has led to the design and implementation of ICT systems that support the integration of heterogeneous tools, such as artificial intelligence (AI), statistics and databases (BD), among others. Ontologies in computing are included in the world of AI and refer to formal representations of an area of knowledge or domain. The discipline that is in charge of the study and construction of tools to accelerate the process of creation of ontologies from the natural language is the ontological engineering. In this paper, we propose a knowledge management model based on the clinical histories of patients (HC) in Panama, based on information extraction (EI), natural language processing (PLN) and the development of a domain ontology.

Keywords: Knowledge, information extraction, ontology, automatic population of ontologies, natural language processing.

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