Integration of a methodology for cluster-based retrieval in jcolibri

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

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

9 Cites (Scopus)

Resum

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 originalAnglès
Títol de la publicacióCase-Based Reasoning Research and Development - 8th International Conference on Case-Based Reasoning, ICCBR 2009, Proceedings
Pàgines418-433
Nombre de pàgines16
DOIs
Estat de la publicacióPublicada - 2009
Esdeveniment8th International Conference on Case-Based Reasoning, ICCBR 2009 - Seattle, WA, United States
Durada: 20 de jul. 200923 de jul. 2009

Sèrie de publicacions

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volum5650 LNAI
ISSN (imprès)0302-9743
ISSN (electrònic)1611-3349

Conferència

Conferència8th International Conference on Case-Based Reasoning, ICCBR 2009
País/TerritoriUnited States
CiutatSeattle, WA
Període20/07/0923/07/09

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