Discovering geographic services from textual use cases

Autores
Saldaño, Viviana E.; Buccella, Agustina; Cechich, Alejandra
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Component Based Software Development (CBSD) relies upon utilization of previously developed software components OTS (Off-The-Shelf), which are appropriately merged to satisfy particular system requirements. However, wide acceptance of this paradigm at industry requires efficient component identification and selection, aspects which are being investigated until now. In this context, this paper further explores the use of a geographic services taxonomy, which facilitates component identification, and is used by analysts in charge of developing a Geographic Information System (GIS) employing a CBSD approach. In this article, different knowledge extraction techniques are evaluated and a methodology is proposed to standardize resultant vocabulary in order to allow automatic tools to support GIS services search.
Facultad de Informática
Materia
Ciencias Informáticas
taxonomías
Sistemas de Información Geográfica
Component Based Software Development (CBSD)
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/9670

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spelling Discovering geographic services from textual use casesSaldaño, Viviana E.Buccella, AgustinaCechich, AlejandraCiencias InformáticastaxonomíasSistemas de Información GeográficaComponent Based Software Development (CBSD)Component Based Software Development (CBSD) relies upon utilization of previously developed software components OTS (Off-The-Shelf), which are appropriately merged to satisfy particular system requirements. However, wide acceptance of this paradigm at industry requires efficient component identification and selection, aspects which are being investigated until now. In this context, this paper further explores the use of a geographic services taxonomy, which facilitates component identification, and is used by analysts in charge of developing a Geographic Information System (GIS) employing a CBSD approach. In this article, different knowledge extraction techniques are evaluated and a methodology is proposed to standardize resultant vocabulary in order to allow automatic tools to support GIS services search.Facultad de Informática2010-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf61-67http://sedici.unlp.edu.ar/handle/10915/9670enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Jun10-3.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/3.0/Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:50:44Zoai:sedici.unlp.edu.ar:10915/9670Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:50:45.268SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Discovering geographic services from textual use cases
title Discovering geographic services from textual use cases
spellingShingle Discovering geographic services from textual use cases
Saldaño, Viviana E.
Ciencias Informáticas
taxonomías
Sistemas de Información Geográfica
Component Based Software Development (CBSD)
title_short Discovering geographic services from textual use cases
title_full Discovering geographic services from textual use cases
title_fullStr Discovering geographic services from textual use cases
title_full_unstemmed Discovering geographic services from textual use cases
title_sort Discovering geographic services from textual use cases
dc.creator.none.fl_str_mv Saldaño, Viviana E.
Buccella, Agustina
Cechich, Alejandra
author Saldaño, Viviana E.
author_facet Saldaño, Viviana E.
Buccella, Agustina
Cechich, Alejandra
author_role author
author2 Buccella, Agustina
Cechich, Alejandra
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
taxonomías
Sistemas de Información Geográfica
Component Based Software Development (CBSD)
topic Ciencias Informáticas
taxonomías
Sistemas de Información Geográfica
Component Based Software Development (CBSD)
dc.description.none.fl_txt_mv Component Based Software Development (CBSD) relies upon utilization of previously developed software components OTS (Off-The-Shelf), which are appropriately merged to satisfy particular system requirements. However, wide acceptance of this paradigm at industry requires efficient component identification and selection, aspects which are being investigated until now. In this context, this paper further explores the use of a geographic services taxonomy, which facilitates component identification, and is used by analysts in charge of developing a Geographic Information System (GIS) employing a CBSD approach. In this article, different knowledge extraction techniques are evaluated and a methodology is proposed to standardize resultant vocabulary in order to allow automatic tools to support GIS services search.
Facultad de Informática
description Component Based Software Development (CBSD) relies upon utilization of previously developed software components OTS (Off-The-Shelf), which are appropriately merged to satisfy particular system requirements. However, wide acceptance of this paradigm at industry requires efficient component identification and selection, aspects which are being investigated until now. In this context, this paper further explores the use of a geographic services taxonomy, which facilitates component identification, and is used by analysts in charge of developing a Geographic Information System (GIS) employing a CBSD approach. In this article, different knowledge extraction techniques are evaluated and a methodology is proposed to standardize resultant vocabulary in order to allow automatic tools to support GIS services search.
publishDate 2010
dc.date.none.fl_str_mv 2010-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/9670
url http://sedici.unlp.edu.ar/handle/10915/9670
dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/issn/1666-6038
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
dc.format.none.fl_str_mv application/pdf
61-67
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instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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