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| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad Nacional Autónoma de México
2008
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| Online Access: | https://www.redalyc.org/articulo.oa?id=40490106 |
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Table of Contents:
- Artificial learning approaches for the next generation Web: Part I E.M. Ramos Michel D. Elliman S. Legrand J.R. Gutiérrez Pulido M.E. Cabello Espinosa Ingeniería clus ter ing se man tic Web ap proach pat tern rec og ni tion artificial neu ral net works On tol ogy cre ation pro cess In this pa per we pres ent a re view of learn ing ap proaches that have been used bythe re search com mu nity to carry out clus ter ing and pat tern rec og ni tion tasks. Ar ti fi -cial neu ral net works are then in tro duced by pre sent ing ex ist ing to pol o gies, learn ingal go rithms, and re call ap proaches . Finally, the re la tion of these tech niques withthe se man tic web on tol ogy cre ation pro cess, as we en vi sion it, is in tro duced. Inpart II of this pa per, an ar ti fi cial learn ing ap proach based on Self-Organizing Maps(SOM) that we have pro posed as an on tol ogy learn ing tool for as sem bling andvisualizing on tol ogy com po nents from a specific do main for the se man tic web isin tro duced. 2008 artículo científico 1405-7743 https://www.redalyc.org/articulo.oa?id=40490106 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.1 Vol.IX