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      Caracterización ontológica de elementos básicos del diagrama de kaos a partir de lenguaje natural Translated title: Ontological characterization of basics of kaos chart from natural language

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          Abstract

          En la ingeniería de software se utilizan diferentes tipos de diagramas para lograr la calidad que debe cumplir el sistema para desarrollar. El diagrama de objetivos de KAOS (Knowledge Acquisition in aut Omated Specification) es utilizado en las primeras fases del ciclo de vida de software (definición y análisis) para expresar a los interesados la importancia del sistema futuro. Sin embargo, en los trabajos que utilizan este diagrama no se logra identificar una automatización entre el lenguaje natural y los elementos básicos (objetivos, entidades, operaciones y agentes) que conforman dicho diagrama. En este artículo se propone la construcción de una ontología y la definición de un conjunto de reglas morfosintácticas y semánticas para: (i) caracterizar los elementos básicos a partir del uso del lenguaje natural en idioma español, (ii) minimizar la ambigüedad semántica presente en el universo del discurso, (iii) obtener automáticamente los elementos básicos, y (iv) elaborar automáticamente dicho diagrama.

          Translated abstract

          In software engineering a variety of diagrams are used for achieving the quality that the system-to-be should accomplish. The KAOS (Knowledge Acquisition in autOmated Specification) is used in the initial phases of the software life-cycle, for expressing to the stakeholders the importance of the future system. However, in the works that use this diagram, it is not identified an automation between natural language and the basic elements (goals, entities, operations and agents) that compose such diagram. In this article, the building of an ontology and the definition of a set of morphosyntactic and semantic rules are proposed for: (i) characterizing the basic elements based on their use in the Spanish natural language, (ii) minimizing the semantic ambiguity that exists in the domain of discourse, (iii) obtaining automatically the basic elements, and (iv) building automatically KAOS goal diagram.

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          Most cited references26

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          Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from an ice cream cone

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            FreeLing 3.0: Towards wider multilinguality.

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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Journal
                itec
                Iteckne
                Iteckne
                Universidad Santo Tomás
                1692-1798
                December 2016
                : 13
                : 2
                : 157-168
                Affiliations
                [1 ] Universidad Nacional de Colombia Colombia
                [2 ] Universidad Nacional de Colombia Colombia
                Article
                S1692-17982016000200006
                40300122-bcd7-4581-acdc-899142aefc1a

                http://creativecommons.org/licenses/by/4.0/

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                Product

                SciELO Colombia

                Self URI (journal page): http://www.scielo.org.co/scielo.php?script=sci_serial&pid=1692-1798&lng=en
                Categories
                ENGINEERING, MULTIDISCIPLINARY

                General engineering
                Ingeniería de software,procesamiento de lenguaje natural,educción de requisitos,validación de requisitos,ontologías,diagrama de objetivos de KAOS

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