Year: 2008
Type: article
Abstract: In this pa per we pres ent a re view of learn ing ap proaches that have been used by the re search com mu nity to carry out clus ter ing and pat tern rec og ni tion tasks.Ar ti ficial neu ral net works are then in tro duced by pre sent ing ex ist ing to pol o gies, learn ing al go rithms, and re call ap proaches .Finally, the re la tion of these tech niques with the se man tic web on tol ogy cre ation pro cess, as we en vi sion it, is in tro duced.In part 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 and visualizing on tol ogy com po nents from a specific do main for the se man tic web is in tro duced.
Authors: Universidad de Colima - Facultad de Telemática, Jorge Rafael Gutiérrez-Pulido, Erika Margarita Ramos-Michel, Universidad de Colima - Facultad de Telemática, María Eugenia Cabello-Espinosa, Universidad de Valencia, Steve Legrand, Dave Elliman
Language: Spanish
Topic: Semantic Web and Ontologies
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2992280903