AWSC: An approach to Web service classification based on machine learning techniques

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1. Verfasser: Marco Crasso
Format: Artículo científico
Sprache:en
Veröffentlicht: Asociación Española para la Inteligencia Artificial 2008
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author Marco Crasso
author_facet Marco Crasso
contents AWSC: An approach to Web service classification based on machine learning techniques Marco Crasso Alejandro Zunino Marcelo Campo Ingeniería Web services machine learning text classification A Web service is a Web accessible software that can be published, located and invoked by using standardWeb protocols. Automatically determining the category of aWeb service, from several pre-defined categories,is an important problem with many applications such as service discovery, semantic annotation and servicematching. This paper describes AWSC (Automatic Web Service Classification), an automatic classifierof Web service descriptions. AWSC exploits the connections between the category of a Web service andthe information commonly found in standard descriptions. In addition, AWSC bridges different styles fordescribing services by combining text mining and machine learning techniques. Experimental evaluationsshow that this combination helps our classification system at improving its precision. In addition, we reportan experimental comparison of AWSC with a related work 2008 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92503704 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.37 Vol.12
format Artículo científico
id redalyc_92503704
institution Redalyc
language en
publishDate 2008
publisher Asociación Española para la Inteligencia Artificial
spellingShingle AWSC: An approach to Web service classification based on machine learning techniques
Marco Crasso
Ingeniería
Web services
machine learning
text classification
AWSC: An approach to Web service classification based on machine learning techniques Marco Crasso Alejandro Zunino Marcelo Campo Ingeniería Web services machine learning text classification A Web service is a Web accessible software that can be published, located and invoked by using standardWeb protocols. Automatically determining the category of aWeb service, from several pre-defined categories,is an important problem with many applications such as service discovery, semantic annotation and servicematching. This paper describes AWSC (Automatic Web Service Classification), an automatic classifierof Web service descriptions. AWSC exploits the connections between the category of a Web service andthe information commonly found in standard descriptions. In addition, AWSC bridges different styles fordescribing services by combining text mining and machine learning techniques. Experimental evaluationsshow that this combination helps our classification system at improving its precision. In addition, we reportan experimental comparison of AWSC with a related work 2008 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92503704 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.37 Vol.12
title AWSC: An approach to Web service classification based on machine learning techniques
topic Ingeniería
Web services
machine learning
text classification
url https://www.redalyc.org/articulo.oa?id=92503704