Integration of a methodology for cluster-based retrieval in jcolibri

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

Research output: Book chapterConference contributionpeer-review

9 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationCase-Based Reasoning Research and Development - 8th International Conference on Case-Based Reasoning, ICCBR 2009, Proceedings
Pages418-433
Number of pages16
DOIs
Publication statusPublished - 2009
Event8th International Conference on Case-Based Reasoning, ICCBR 2009 - Seattle, WA, United States
Duration: 20 Jul 200923 Jul 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5650 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Case-Based Reasoning, ICCBR 2009
Country/TerritoryUnited States
CitySeattle, WA
Period20/07/0923/07/09

Keywords

  • CBR Tools
  • Case Memory Organization
  • Cluster Based Memory
  • JCOLIBRI
  • Soft Case-Based Reasoning
  • Textual CBR

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