An Approach to Case-Based Reasoning Based on Local Enrichment of the Case Base

Yves Lepage; Jean Lieber

doi:10.1007/978-3-030-29249-2_16

An Approach to Case-Based Reasoning Based on Local Enrichment of the Case Base

Yves Lepage^*, Jean Lieber

^*Corresponding author for this work

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper describes an approach to case-based reasoning by which the case base is enriched at reasoning time. Enrichment results from the local application of variations to seed cases: new hypothetical cases are created which get closer and closer to the target problem. The creation of these hypothetical cases is based on structures associated to the problem and solution spaces, called variation spaces, that enable defining a language of adaptation rules. Ultimately reaching the target problem (exactly or nearly) allows the system to deliver a solution. Application of the proposed approach to machine translation shows behind state-of-the-art, but promising results.

Original language	English
Title of host publication	Case-Based Reasoning Research and Development - 27th International Conference, ICCBR 2019, Proceedings
Editors	Kerstin Bach, Cindy Marling
Publisher	Springer Verlag
Pages	235-250
Number of pages	16
ISBN (Print)	9783030292485
DOIs	https://doi.org/10.1007/978-3-030-29249-2_16
Publication status	Published - 2019
Event	27th International Conference on Case-Based Reasoning, ICCBR 2019 - Nonnweiler, Germany Duration: 2019 Sept 8 → 2019 Sept 12

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11680 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	27th International Conference on Case-Based Reasoning, ICCBR 2019
Country/Territory	Germany
City	Nonnweiler
Period	19/9/8 → 19/9/12

Keywords

Analogical reasoning
Case base enrichment
Case-based machine translation
Case-based reasoning

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-030-29249-2_16

Cite this

Lepage, Y., & Lieber, J. (2019). An Approach to Case-Based Reasoning Based on Local Enrichment of the Case Base. In K. Bach, & C. Marling (Eds.), Case-Based Reasoning Research and Development - 27th International Conference, ICCBR 2019, Proceedings (pp. 235-250). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11680 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-29249-2_16

An Approach to Case-Based Reasoning Based on Local Enrichment of the Case Base. / Lepage, Yves; Lieber, Jean.
Case-Based Reasoning Research and Development - 27th International Conference, ICCBR 2019, Proceedings. ed. / Kerstin Bach; Cindy Marling. Springer Verlag, 2019. p. 235-250 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11680 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lepage, Y & Lieber, J 2019, An Approach to Case-Based Reasoning Based on Local Enrichment of the Case Base. in K Bach & C Marling (eds), Case-Based Reasoning Research and Development - 27th International Conference, ICCBR 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11680 LNAI, Springer Verlag, pp. 235-250, 27th International Conference on Case-Based Reasoning, ICCBR 2019, Nonnweiler, Germany, 19/9/8. https://doi.org/10.1007/978-3-030-29249-2_16

Lepage Y, Lieber J. An Approach to Case-Based Reasoning Based on Local Enrichment of the Case Base. In Bach K, Marling C, editors, Case-Based Reasoning Research and Development - 27th International Conference, ICCBR 2019, Proceedings. Springer Verlag. 2019. p. 235-250. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-29249-2_16

Lepage, Yves ; Lieber, Jean. / An Approach to Case-Based Reasoning Based on Local Enrichment of the Case Base. Case-Based Reasoning Research and Development - 27th International Conference, ICCBR 2019, Proceedings. editor / Kerstin Bach ; Cindy Marling. Springer Verlag, 2019. pp. 235-250 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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An Approach to Case-Based Reasoning Based on Local Enrichment of the Case Base

Abstract

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Keywords

ASJC Scopus subject areas

Access to Document

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