Artificial learning approaches for the next generation web: Part II
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Universidad Nacional Autónoma de México
2008
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| _version_ | 1876435934193385472 |
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| author | J.R. Gutiérrez Pulido |
| author_facet | J.R. Gutiérrez Pulido |
| contents | Artificial learning approaches for the next generation web: Part II J.R. Gutiérrez Pulido M.E. Cabello Espinosa S. Legrand D. Elliman M. Andrade Aréchiga J.R. Herrera Morales Ingeniería self clustering organizing maps data visualization semantic web approach In this paper we present an ontology learning tool for assembling and visualizing ontology components from a specific domain for the semantic web. The focal point of the paper is on Self-Organizing Maps (SOM). Some of their properties and the learningalgorithm are described. Practical suggestions on how to create good maps are also presented. Related work is then reported. Finally, the relation of SOM with the semantic web ontology creation process, as we envision it, is introduced. 2008 artículo científico 1405-7743 https://www.redalyc.org/articulo.oa?id=40490206 en http://www.redalyc.org/revista.oa?id=404 Ingeniería. Investigación y Tecnología application/pdf Universidad Nacional Autónoma de México Ingeniería. Investigación y Tecnología (México) Num.2 Vol.IX |
| format | Artículo científico |
| id | redalyc_40490206 |
| institution | Redalyc |
| language | en |
| publishDate | 2008 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | Artificial learning approaches for the next generation web: Part II J.R. Gutiérrez Pulido Ingeniería self clustering organizing maps data visualization semantic web approach Artificial learning approaches for the next generation web: Part II J.R. Gutiérrez Pulido M.E. Cabello Espinosa S. Legrand D. Elliman M. Andrade Aréchiga J.R. Herrera Morales Ingeniería self clustering organizing maps data visualization semantic web approach In this paper we present an ontology learning tool for assembling and visualizing ontology components from a specific domain for the semantic web. The focal point of the paper is on Self-Organizing Maps (SOM). Some of their properties and the learningalgorithm are described. Practical suggestions on how to create good maps are also presented. Related work is then reported. Finally, the relation of SOM with the semantic web ontology creation process, as we envision it, is introduced. 2008 artículo científico 1405-7743 https://www.redalyc.org/articulo.oa?id=40490206 en http://www.redalyc.org/revista.oa?id=404 Ingeniería. Investigación y Tecnología application/pdf Universidad Nacional Autónoma de México Ingeniería. Investigación y Tecnología (México) Num.2 Vol.IX |
| title | Artificial learning approaches for the next generation web: Part II |
| topic | Ingeniería self clustering organizing maps data visualization semantic web approach |
| url | https://www.redalyc.org/articulo.oa?id=40490206 |