Análisis, diseño e implementación de un agente deliberativo para extraer contextos definitorios en textos especializados

Suárez de la Torre, María Mercedes, Castillo Ossa, Luis Fernando, Ríos Cardona, Carmenza, Muñoz, Germán Mauricio and Aranzazu Álvarez, Jorge Análisis, diseño e implementación de un agente deliberativo para extraer contextos definitorios en textos especializados. Revista Interamericana de Bibliotecología, 2009, vol. 32, n. 2, pp. 5-84. [Journal article (Paginated)]

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English abstract

This paper presents the results of the first stage comprised in the research project entitled: Multiagent System for Defining Contexts Extraction, based on ontologies for the Semantic Web. This article mainly aims at showing the analysis, design and implementation of a deliberative agent with a supervised learning mechanism, which permits the identification of defining contexts in specialized texts. The GAIA methodology has been selected to apply the agent in order to reach the stated goal. This methodology provides an increasing set of steps, based on agent- based systems as an organizational design process. The process of defining context extraction has been carried out by means of the GATE tool, which allows the detection of regular expressions in documents syntactically and semantically marked. The defining contexts are obtained in a semi-automatic way as a result of the interaction between the deliberative agent and the corpus selected. The semi-automatic extraction works by means of the design of the following interphases: basic application interphase, interacting with the JADE platform interphase, and agent communication interphase. After the design and the implementation of each of the inter phases mentioned above, it has been concluded that the research works dealing with the defining context extraction and linguistic patterns, do not provide the necessary information, from the syntactic and semantic aspect, to make the machine recognize the defining contexts and to develop a more refined search and retrieval, while using a minimum phase amount.

Spanish abstract

Este artículo presenta los resultados de la primera fase del proyecto en curso: Sistema Multiagente para la extracción automática de contextos definitorios basado en ontologías para la Web semántica. El objetivo principal de este artículo es mostrar el análisis, diseño e implementación de un agente deliberativo, con un mecanismo de aprendizaje supervisado, que permite identificar contextos definitorios en textos especializados. Con el fin de lograr dicho objetivo, se ha seleccionado, para la aplicación del agente, la metodología GAIA que proporciona un conjunto de pasos incrementales, mediante la construcción de sistemas basados en agentes como un proceso de diseño organizacional. La extracción de contextos definitorios se ha realizado utilizando el conjunto de herramientas GATE, que permite reconocer expresiones regulares en documentos marcados sintáctica y semánticamente. Como resultado de la interacción entre el agente deliberativo y el corpus de textos seleccionado, se obtienen los contextos definitorios de manera semiautomática. Dicha extracción semiautomática funciona mediante del diseño de las siguientes interfaces: interface básica de aplicación, Interface en interacción con la plataforma JADE e interface de comunicación entre agentes. El diseño y la puesta en marcha de cada una de estas interfaces, ha permitido concluir que los trabajos realizados en cuanto a la extracción de contextos definitorios y patrones lingüísticos, no brindan información suficiente desde el punto de vista sintáctico y semántico, para que la máquina pueda reconocerlos y realizar una búsqueda y recuperación más refinada, utilizando un número mínimo de fases.

Item type: Journal article (Paginated)
Keywords: Deliberative agent, defining contexts, specialized contexts, linguistic patterns, semiautomatic information extraction.
Subjects: A. Theoretical and general aspects of libraries and information.
Depositing user: Luis Fernando Ramírez Restrepo
Date deposited: 15 May 2012
Last modified: 02 Oct 2014 12:22
URI: http://hdl.handle.net/10760/16983

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