P2P case retrieval with an unspecified ontology

Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

6 Citations (Scopus)

Abstract

Traditional CBR approaches imply centralized storage of the case base and, most of them, the retrieval of similar cases by an exhaustive comparison of the case to be solved with the whole set of cases. In this work we propose a novel approach for storage of the case base in a decentralized Peer-to-Peer environment using the notion of Unspecified Ontology. In our approach the cases are stored in a number of network nodes that is comparable with the number of cases. We also develop an approximated algorithm for efficient retrieval of most-similar cases. The experiments show that the approximated algorithm successfully retrieves the most-similar cases while reducing the number of cases to be compared.
Original languageEnglish
Title of host publicationCase-Based Reasoning Research and Development
Subtitle of host publicationInternational Conference on Case-Based Reasoning, ICCBR 2005. Proceedings
EditorsHéctor Muñoz-Avila, Francesco Ricci
Place of PublicationBerlin
PublisherSpringer, Springer Nature
Pages91-105
Number of pages15
ISBN (Electronic)9783540318552
ISBN (Print)9783540281740
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event6th International Conference on Case-Based Reasoning, ICCBR 2005 - Chicago, United States
Duration: 23 Aug 200526 Aug 2005

Conference

Conference6th International Conference on Case-Based Reasoning, ICCBR 2005
CountryUnited States
CityChicago
Period23/08/0526/08/05

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