P2P case retrieval with an unspecified ontology

Shlomo Berkovsky; Tsvi Kuflik; Francesco Ricci

doi:10.1007/11536406_10

P2P case retrieval with an unspecified ontology

Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-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 language	English
Title of host publication	Case-Based Reasoning Research and Development
Subtitle of host publication	International Conference on Case-Based Reasoning, ICCBR 2005. Proceedings
Editors	Héctor Muñoz-Avila, Francesco Ricci
Place of Publication	Berlin
Publisher	Springer, Springer Nature
Pages	91-105
Number of pages	15
ISBN (Electronic)	9783540318552
ISBN (Print)	9783540281740
DOIs	https://doi.org/10.1007/11536406_10
Publication status	Published - 2005
Externally published	Yes
Event	6th International Conference on Case-Based Reasoning, ICCBR 2005 - Chicago, United States Duration: 23 Aug 2005 → 26 Aug 2005

Conference

Conference	6th International Conference on Case-Based Reasoning, ICCBR 2005
Country/Territory	United States
City	Chicago
Period	23/08/05 → 26/08/05

Access to Document

10.1007/11536406_10

Cite this

@inproceedings{698705bdaa2549488176ddfa0250e9de,

title = "P2P case retrieval with an unspecified ontology",

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.",

author = "Shlomo Berkovsky and Tsvi Kuflik and Francesco Ricci",

year = "2005",

doi = "10.1007/11536406_10",

language = "English",

isbn = "9783540281740",

pages = "91--105",

editor = "H{\'e}ctor Mu{\~n}oz-Avila and Francesco Ricci",

booktitle = "Case-Based Reasoning Research and Development",

publisher = "Springer, Springer Nature",

address = "United States",

note = "6th International Conference on Case-Based Reasoning, ICCBR 2005 ; Conference date: 23-08-2005 Through 26-08-2005",

}

Berkovsky, S, Kuflik, T & Ricci, F 2005, P2P case retrieval with an unspecified ontology. in H Muñoz-Avila & F Ricci (eds), Case-Based Reasoning Research and Development: International Conference on Case-Based Reasoning, ICCBR 2005. Proceedings. Springer, Springer Nature, Berlin, pp. 91-105, 6th International Conference on Case-Based Reasoning, ICCBR 2005, Chicago, Illinois, United States, 23/08/05. https://doi.org/10.1007/11536406_10

P2P case retrieval with an unspecified ontology. / Berkovsky, Shlomo; Kuflik, Tsvi; Ricci, Francesco.
Case-Based Reasoning Research and Development: International Conference on Case-Based Reasoning, ICCBR 2005. Proceedings. ed. / Héctor Muñoz-Avila; Francesco Ricci. Berlin: Springer, Springer Nature, 2005. p. 91-105.

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

TY - GEN

T1 - P2P case retrieval with an unspecified ontology

AU - Berkovsky, Shlomo

AU - Kuflik, Tsvi

AU - Ricci, Francesco

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

U2 - 10.1007/11536406_10

DO - 10.1007/11536406_10

M3 - Conference proceeding contribution

SN - 9783540281740

SP - 91

EP - 105

BT - Case-Based Reasoning Research and Development

A2 - Muñoz-Avila, Héctor

A2 - Ricci, Francesco

PB - Springer, Springer Nature

CY - Berlin

T2 - 6th International Conference on Case-Based Reasoning, ICCBR 2005

Y2 - 23 August 2005 through 26 August 2005

ER -

P2P case retrieval with an unspecified ontology

Abstract

Conference

Access to Document

Fingerprint

Cite this