Integration of a methodology for cluster-based retrieval in jcolibri

Albert Fornells Herrera; Juan Antonio Recio-García; Belén Díaz-Agudo; Elisabet Golobardes Ribé; Eduard Fornells

doi:10.1007/978-3-642-02998-1_30

Integration of a methodology for cluster-based retrieval in jcolibri

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

Research output: Book chapter › Conference contribution › peer-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.

Translated title of the contribution	Integration of a Methodology for Cluster-Based Retrieval in jColibri
Original language	English
Title of host publication	Case-Based Reasoning Researcfh and Development, ICCBR 2009, LNAI 5650
Publisher	Springer
Pages	418-433
Number of pages	16
Volume	5650
ISBN (Print)	978-3-642-02997-4
DOIs	https://doi.org/10.1007/978-3-642-02998-1_30
Publication status	Published - 2009
Event	8th International Conference on Case-Based Reasoning, ICCBR 2009 - Seattle, WA, United States Duration: 20 Jul 2009 → 23 Jul 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5650 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	8th International Conference on Case-Based Reasoning, ICCBR 2009
Country/Territory	United States
City	Seattle, WA
Period	20/07/09 → 23/07/09

Access to Document

10.1007/978-3-642-02998-1_30

Cite this

Fornells Herrera, A., Recio-García, J. A., Díaz-Agudo, B., Golobardes Ribé, E., & Fornells, E. (2009). Integration of a methodology for cluster-based retrieval in jcolibri. In Case-Based Reasoning Researcfh and Development, ICCBR 2009, LNAI 5650 (Vol. 5650, pp. 418-433). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5650 LNAI). Springer. https://doi.org/10.1007/978-3-642-02998-1_30

Fornells Herrera, Albert ; Recio-García, Juan Antonio ; Díaz-Agudo, Belén et al. / Integration of a methodology for cluster-based retrieval in jcolibri. Case-Based Reasoning Researcfh and Development, ICCBR 2009, LNAI 5650. Vol. 5650 Springer, 2009. pp. 418-433 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Integration of a methodology for cluster-based retrieval in jcolibri",

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.",

author = "\{Fornells Herrera\}, Albert and Recio-Garc{\'i}a, \{Juan Antonio\} and Bel{\'e}n D{\'i}az-Agudo and \{Golobardes Rib{\'e}\}, Elisabet and Eduard Fornells",

year = "2009",

doi = "10.1007/978-3-642-02998-1\_30",

language = "English",

isbn = "978-3-642-02997-4",

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booktitle = "Case-Based Reasoning Researcfh and Development, ICCBR 2009, LNAI 5650",

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Fornells Herrera, A, Recio-García, JA, Díaz-Agudo, B, Golobardes Ribé, E & Fornells, E 2009, Integration of a methodology for cluster-based retrieval in jcolibri. in Case-Based Reasoning Researcfh and Development, ICCBR 2009, LNAI 5650. vol. 5650, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5650 LNAI, Springer, pp. 418-433, 8th International Conference on Case-Based Reasoning, ICCBR 2009, Seattle, WA, United States, 20/07/09. https://doi.org/10.1007/978-3-642-02998-1_30

Integration of a methodology for cluster-based retrieval in jcolibri. / Fornells Herrera, Albert; Recio-García, Juan Antonio; Díaz-Agudo, Belén et al.
Case-Based Reasoning Researcfh and Development, ICCBR 2009, LNAI 5650. Vol. 5650 Springer, 2009. p. 418-433 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5650 LNAI).

Research output: Book chapter › Conference contribution › peer-review

TY - GEN

T1 - Integration of a methodology for cluster-based retrieval in jcolibri

AU - Fornells Herrera, Albert

AU - Recio-García, Juan Antonio

AU - Díaz-Agudo, Belén

AU - Golobardes Ribé, Elisabet

AU - Fornells, Eduard

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/70350364878

U2 - 10.1007/978-3-642-02998-1_30

DO - 10.1007/978-3-642-02998-1_30

M3 - Conference contribution

SN - 978-3-642-02997-4

VL - 5650

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 418

EP - 433

BT - Case-Based Reasoning Researcfh and Development, ICCBR 2009, LNAI 5650

PB - Springer

T2 - 8th International Conference on Case-Based Reasoning, ICCBR 2009

Y2 - 20 July 2009 through 23 July 2009

ER -

Fornells Herrera A, Recio-García JA, Díaz-Agudo B, Golobardes Ribé E, Fornells E. Integration of a methodology for cluster-based retrieval in jcolibri. In Case-Based Reasoning Researcfh and Development, ICCBR 2009, LNAI 5650. Vol. 5650. Springer. 2009. p. 418-433. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-02998-1_30

Integration of a methodology for cluster-based retrieval in jcolibri

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