Integration of a methodology for cluster-based retrieval in jcolibri

Albert Fornells, Juan Antonio Recio-García, Belén Díaz-Agudo, Elisabet Golobardes, Eduard Fornells

Producción científica: Capítulo del libroContribución a congreso/conferenciarevisión exhaustiva

9 Citas (Scopus)

Resumen

One of the key issues in Case-Based Reasoning (CBR) systems is the efficient retrieval of cases when the case base is huge and/or it contains uncertainty and partial knowledge. Although many authors have focused on proposing case memory organizations for improving the retrieval performance, there is not any free open source framework which offers this kind of capabilities. This work presents a plug-in called Thunder for the jcolibri framework. Thunder provides a methodology integrated in a graphical environment for managing the case retrieval from cluster based organizations. A case study based on tackling a Textual CBR problem using Self-Organizing Maps as case memory organizing technique is successfully tested.

Idioma originalInglés
Título de la publicación alojadaCase-Based Reasoning Research and Development - 8th International Conference on Case-Based Reasoning, ICCBR 2009, Proceedings
Páginas418-433
Número de páginas16
DOI
EstadoPublicada - 2009
Evento8th International Conference on Case-Based Reasoning, ICCBR 2009 - Seattle, WA, Estados Unidos
Duración: 20 jul 200923 jul 2009

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen5650 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia8th International Conference on Case-Based Reasoning, ICCBR 2009
País/TerritorioEstados Unidos
CiudadSeattle, WA
Período20/07/0923/07/09

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