This article describes a method of finding the contextual relationships among different terms in a database. First, the vector model is used to represent the terms as vectors according to which documents they appear in. Second, these vectors are used as the input to a Kohonen network, which organizes them topologically. This organization, in turn, generates term clusters arranged on a grid, so that each term is not only related to the others in its own cluster but also to those of neighboring clusters.
%0 Journal Article
%1 guerrero_automatic_2002
%A Guerrero, Vicente P
%A Moya-Anegon, Felix
%A Herrero-Solana, Victor
%D 2002
%J Library & Information Science Research
%K imported
%P 235-250
%T Automatic extraction of relationships between terms by means of Kohonen's algorithm
%U http://www.sciencedirect.com/science/article/B6W5R-46P9MWT-5/2/9c07f9e9fbe4738c74da378dd59ca86e
%V 24
%X This article describes a method of finding the contextual relationships among different terms in a database. First, the vector model is used to represent the terms as vectors according to which documents they appear in. Second, these vectors are used as the input to a Kohonen network, which organizes them topologically. This organization, in turn, generates term clusters arranged on a grid, so that each term is not only related to the others in its own cluster but also to those of neighboring clusters.
@article{guerrero_automatic_2002,
abstract = {This article describes a method of finding the contextual relationships among different terms in a database. First, the vector model is used to represent the terms as vectors according to which documents they appear in. Second, these vectors are used as the input to a Kohonen network, which organizes them topologically. This organization, in turn, generates term clusters arranged on a grid, so that each term is not only related to the others in its own cluster but also to those of neighboring clusters.},
added-at = {2007-12-03T17:48:07.000+0100},
author = {Guerrero, Vicente P and Moya-Anegon, Felix and Herrero-Solana, Victor},
biburl = {https://www.bibsonomy.org/bibtex/27feff1c95c9e39fa225b23742bf53c8a/sercarfe},
interhash = {ac8feec52de73373e5b960b1fd873ac1},
intrahash = {7feff1c95c9e39fa225b23742bf53c8a},
journal = {Library \& Information Science Research},
keywords = {imported},
pages = {235-250},
timestamp = {2007-12-03T17:48:27.000+0100},
title = {Automatic extraction of relationships between terms by means of Kohonen's algorithm},
url = {http://www.sciencedirect.com/science/article/B6W5R-46P9MWT-5/2/9c07f9e9fbe4738c74da378dd59ca86e },
volume = 24,
year = 2002
}