Use of classification algorithms for semantic Web services discovery

Web services (WS) are used in different environments like enterprises, government and industry, providing tools for implementing complex distributed systems. Web service discovery allows a system to find services that meet the requirements of the users. One way to improve this type of discovery woul...

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Detalles Bibliográficos
Autores: MARTHA DEL SOCORRO VARGUEZ MOO, FRANCISCO JOSE MOO MENA, VICTOR EMANUEL DE ATOCHA UC CETINA
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2013
País:México
Institución:Universidad Autónoma de Yucatán
Repositorio:Repositorio Digital Institucional de la Universidad Autónoma de Yucatán
Idioma:inglés
OAI Identifier:oai:redi.uady.mx:123456789/772
Acceso en línea:http://redi.uady.mx:8080/handle/123456789/772
Access Level:acceso abierto
Palabra clave:info:eu-repo/classification/cti/1
info:eu-repo/classification/cti/7
Web services discovery
Semantic Web services
Non-functional properties
Naïve bayes
Support vector machines
Adaboost
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repository_id_str
spelling Use of classification algorithms for semantic Web services discoveryMARTHA DEL SOCORRO VARGUEZ MOOFRANCISCO JOSE MOO MENAVICTOR EMANUEL DE ATOCHA UC CETINAinfo:eu-repo/classification/cti/1info:eu-repo/classification/cti/7Web services discoverySemantic Web servicesNon-functional propertiesNaïve bayesSupport vector machinesAdaboostWeb services (WS) are used in different environments like enterprises, government and industry, providing tools for implementing complex distributed systems. Web service discovery allows a system to find services that meet the requirements of the users. One way to improve this type of discovery would consider not only the functional aspects of the required service, but also relevant aspects such as performance or availability to perform its functions. Moreover, this approach would allow a more efficient discovery process to obtain results closer to the user needs. In this paper we present an approach for Web service discovery through the use of machine learning algorithms for classification of Web services. For Web services matching our proposal takes into account quality of service (QoS) parameters, which include semantic information about each Web service. For semantic Web service specification we use the SAWSDL standard. Whereas the proposed UDDI standard was discontinued, among other reasons, due to limited syntactic Web service discovery, our approach brings important elements to the consolidation of semantic Web service discovery.2013-07-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://redi.uady.mx:8080/handle/123456789/772urn:issn:1796-203xreponame:Repositorio Digital Institucional de la Universidad Autónoma de Yucatáninstname:Universidad Autónoma de Yucatáninstacron:UADYengInvestigación aplicadainfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0oai:redi.uady.mx:123456789/7722024-10-04T19:03:26Z
dc.title.none.fl_str_mv Use of classification algorithms for semantic Web services discovery
title Use of classification algorithms for semantic Web services discovery
spellingShingle Use of classification algorithms for semantic Web services discovery
MARTHA DEL SOCORRO VARGUEZ MOO
info:eu-repo/classification/cti/1
info:eu-repo/classification/cti/7
Web services discovery
Semantic Web services
Non-functional properties
Naïve bayes
Support vector machines
Adaboost
title_short Use of classification algorithms for semantic Web services discovery
title_full Use of classification algorithms for semantic Web services discovery
title_fullStr Use of classification algorithms for semantic Web services discovery
title_full_unstemmed Use of classification algorithms for semantic Web services discovery
title_sort Use of classification algorithms for semantic Web services discovery
dc.creator.none.fl_str_mv MARTHA DEL SOCORRO VARGUEZ MOO
FRANCISCO JOSE MOO MENA
VICTOR EMANUEL DE ATOCHA UC CETINA
author MARTHA DEL SOCORRO VARGUEZ MOO
author_facet MARTHA DEL SOCORRO VARGUEZ MOO
FRANCISCO JOSE MOO MENA
VICTOR EMANUEL DE ATOCHA UC CETINA
author_role author
author2 FRANCISCO JOSE MOO MENA
VICTOR EMANUEL DE ATOCHA UC CETINA
author2_role author
author
dc.subject.none.fl_str_mv info:eu-repo/classification/cti/1
info:eu-repo/classification/cti/7
Web services discovery
Semantic Web services
Non-functional properties
Naïve bayes
Support vector machines
Adaboost
topic info:eu-repo/classification/cti/1
info:eu-repo/classification/cti/7
Web services discovery
Semantic Web services
Non-functional properties
Naïve bayes
Support vector machines
Adaboost
description Web services (WS) are used in different environments like enterprises, government and industry, providing tools for implementing complex distributed systems. Web service discovery allows a system to find services that meet the requirements of the users. One way to improve this type of discovery would consider not only the functional aspects of the required service, but also relevant aspects such as performance or availability to perform its functions. Moreover, this approach would allow a more efficient discovery process to obtain results closer to the user needs. In this paper we present an approach for Web service discovery through the use of machine learning algorithms for classification of Web services. For Web services matching our proposal takes into account quality of service (QoS) parameters, which include semantic information about each Web service. For semantic Web service specification we use the SAWSDL standard. Whereas the proposed UDDI standard was discontinued, among other reasons, due to limited syntactic Web service discovery, our approach brings important elements to the consolidation of semantic Web service discovery.
publishDate 2013
dc.date.none.fl_str_mv 2013-07-31
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://redi.uady.mx:8080/handle/123456789/772
url http://redi.uady.mx:8080/handle/123456789/772
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Investigación aplicada
dc.source.none.fl_str_mv urn:issn:1796-203x
reponame:Repositorio Digital Institucional de la Universidad Autónoma de Yucatán
instname:Universidad Autónoma de Yucatán
instacron:UADY
instname_str Universidad Autónoma de Yucatán
instacron_str UADY
institution UADY
reponame_str Repositorio Digital Institucional de la Universidad Autónoma de Yucatán
collection Repositorio Digital Institucional de la Universidad Autónoma de Yucatán
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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