A knowledge representation semantic network for a natural language syntactic analyzer based on the UML

Autores
Silva, Alberto Tavares da; Carvalho, Luis Alfredo V.
Año de publicación
2006
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The need for improving software processes approximated the software engineering and artificial intelligence areas. Artificial intelligence techniques have been used as a support to software development processes, particularly through intelligent assistants that offer a knowledge-based support to software process’ activities. The context of the present work is a project for an intelligent assistant that implements a linguistic technique with the purpose of extracting object-oriented elements from requirement specifications in natural language through two main functionalities: the syntactic and semantic analyses. The syntactic analysis has the purpose of extracting the syntactic constituents from a sentence; and the semantic analysis has the goal of extracting the meaning from a set of sentences, i.e., a text. This paper focuses on the syntactic analysis functionality and applies the UML to its core as a semantic network for knowledge representation, based on the premise that the UML is de facto a standard general modeling language for software development.
Applications in Artificial Intelligence - Language Processing
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Languages
Requirements/Specifications
Object-oriented programming
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/24219

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spelling A knowledge representation semantic network for a natural language syntactic analyzer based on the UMLSilva, Alberto Tavares daCarvalho, Luis Alfredo V.Ciencias InformáticasLanguagesRequirements/SpecificationsObject-oriented programmingThe need for improving software processes approximated the software engineering and artificial intelligence areas. Artificial intelligence techniques have been used as a support to software development processes, particularly through intelligent assistants that offer a knowledge-based support to software process’ activities. The context of the present work is a project for an intelligent assistant that implements a linguistic technique with the purpose of extracting object-oriented elements from requirement specifications in natural language through two main functionalities: the syntactic and semantic analyses. The syntactic analysis has the purpose of extracting the syntactic constituents from a sentence; and the semantic analysis has the goal of extracting the meaning from a set of sentences, i.e., a text. This paper focuses on the syntactic analysis functionality and applies the UML to its core as a semantic network for knowledge representation, based on the premise that the UML is de facto a standard general modeling language for software development.Applications in Artificial Intelligence - Language ProcessingRed de Universidades con Carreras en Informática (RedUNCI)2006-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/24219enginfo:eu-repo/semantics/altIdentifier/isbn/0-387-34655-4info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:28:34Zoai:sedici.unlp.edu.ar:10915/24219Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:28:34.737SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A knowledge representation semantic network for a natural language syntactic analyzer based on the UML
title A knowledge representation semantic network for a natural language syntactic analyzer based on the UML
spellingShingle A knowledge representation semantic network for a natural language syntactic analyzer based on the UML
Silva, Alberto Tavares da
Ciencias Informáticas
Languages
Requirements/Specifications
Object-oriented programming
title_short A knowledge representation semantic network for a natural language syntactic analyzer based on the UML
title_full A knowledge representation semantic network for a natural language syntactic analyzer based on the UML
title_fullStr A knowledge representation semantic network for a natural language syntactic analyzer based on the UML
title_full_unstemmed A knowledge representation semantic network for a natural language syntactic analyzer based on the UML
title_sort A knowledge representation semantic network for a natural language syntactic analyzer based on the UML
dc.creator.none.fl_str_mv Silva, Alberto Tavares da
Carvalho, Luis Alfredo V.
author Silva, Alberto Tavares da
author_facet Silva, Alberto Tavares da
Carvalho, Luis Alfredo V.
author_role author
author2 Carvalho, Luis Alfredo V.
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Languages
Requirements/Specifications
Object-oriented programming
topic Ciencias Informáticas
Languages
Requirements/Specifications
Object-oriented programming
dc.description.none.fl_txt_mv The need for improving software processes approximated the software engineering and artificial intelligence areas. Artificial intelligence techniques have been used as a support to software development processes, particularly through intelligent assistants that offer a knowledge-based support to software process’ activities. The context of the present work is a project for an intelligent assistant that implements a linguistic technique with the purpose of extracting object-oriented elements from requirement specifications in natural language through two main functionalities: the syntactic and semantic analyses. The syntactic analysis has the purpose of extracting the syntactic constituents from a sentence; and the semantic analysis has the goal of extracting the meaning from a set of sentences, i.e., a text. This paper focuses on the syntactic analysis functionality and applies the UML to its core as a semantic network for knowledge representation, based on the premise that the UML is de facto a standard general modeling language for software development.
Applications in Artificial Intelligence - Language Processing
Red de Universidades con Carreras en Informática (RedUNCI)
description The need for improving software processes approximated the software engineering and artificial intelligence areas. Artificial intelligence techniques have been used as a support to software development processes, particularly through intelligent assistants that offer a knowledge-based support to software process’ activities. The context of the present work is a project for an intelligent assistant that implements a linguistic technique with the purpose of extracting object-oriented elements from requirement specifications in natural language through two main functionalities: the syntactic and semantic analyses. The syntactic analysis has the purpose of extracting the syntactic constituents from a sentence; and the semantic analysis has the goal of extracting the meaning from a set of sentences, i.e., a text. This paper focuses on the syntactic analysis functionality and applies the UML to its core as a semantic network for knowledge representation, based on the premise that the UML is de facto a standard general modeling language for software development.
publishDate 2006
dc.date.none.fl_str_mv 2006-08
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dc.language.none.fl_str_mv eng
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dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
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