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Sophia : A novel approach for textual case-based reasoning. / Patterson, David; Rooney, Niall; Dobrynin, Vladimir; Galushka, Mykola.

In: IJCAI International Joint Conference on Artificial Intelligence, 01.12.2005, p. 15-20.

Research output: Contribution to journal › Conference article › peer-review

Harvard

Patterson, D, Rooney, N, Dobrynin, V & Galushka, M 2005, 'Sophia: A novel approach for textual case-based reasoning', IJCAI International Joint Conference on Artificial Intelligence, pp. 15-20.

APA

Patterson, D., Rooney, N., Dobrynin, V., & Galushka, M. (2005). Sophia: A novel approach for textual case-based reasoning. IJCAI International Joint Conference on Artificial Intelligence, 15-20.

Vancouver

Patterson D, Rooney N, Dobrynin V, Galushka M. Sophia: A novel approach for textual case-based reasoning. IJCAI International Joint Conference on Artificial Intelligence. 2005 Dec 1;15-20.

Author

Patterson, David ; Rooney, Niall ; Dobrynin, Vladimir ; Galushka, Mykola. / Sophia : A novel approach for textual case-based reasoning. In: IJCAI International Joint Conference on Artificial Intelligence. 2005 ; pp. 15-20.

BibTeX

@article{2a3346b18a8f4456ac767bbd62f3fbe3,
title = "Sophia: A novel approach for textual case-based reasoning",
abstract = "In this paper we present a novel methodology for textual case-based reasoning. This technique is unique in that it automatically discovers case and similarity knowledge, is language independent, is scaleable and facilitates semantic similarity between cases to be carried out inherently without the need for domain knowledge. In addition it provides an insight into the thematical content of the case-base as a whole, which enables users to better structure queries. We present an analysis of the competency of the system by assessing the quality of the similarity knowledge discovered and show how it is ideally suited to case-based retrieval (querying by example).",
author = "David Patterson and Niall Rooney and Vladimir Dobrynin and Mykola Galushka",
year = "2005",
month = dec,
day = "1",
language = "English",
pages = "15--20",
journal = "IJCAI",
issn = "1045-0823",
publisher = "International Joint Conferences on Artificial Intelligence",
note = "19th International Joint Conference on Artificial Intelligence, IJCAI 2005 ; Conference date: 30-07-2005 Through 05-08-2005",

}

RIS

TY - JOUR

T1 - Sophia

T2 - 19th International Joint Conference on Artificial Intelligence, IJCAI 2005

AU - Patterson, David

AU - Rooney, Niall

AU - Dobrynin, Vladimir

AU - Galushka, Mykola

PY - 2005/12/1

Y1 - 2005/12/1

N2 - In this paper we present a novel methodology for textual case-based reasoning. This technique is unique in that it automatically discovers case and similarity knowledge, is language independent, is scaleable and facilitates semantic similarity between cases to be carried out inherently without the need for domain knowledge. In addition it provides an insight into the thematical content of the case-base as a whole, which enables users to better structure queries. We present an analysis of the competency of the system by assessing the quality of the similarity knowledge discovered and show how it is ideally suited to case-based retrieval (querying by example).

AB - In this paper we present a novel methodology for textual case-based reasoning. This technique is unique in that it automatically discovers case and similarity knowledge, is language independent, is scaleable and facilitates semantic similarity between cases to be carried out inherently without the need for domain knowledge. In addition it provides an insight into the thematical content of the case-base as a whole, which enables users to better structure queries. We present an analysis of the competency of the system by assessing the quality of the similarity knowledge discovered and show how it is ideally suited to case-based retrieval (querying by example).

UR - http://www.scopus.com/inward/record.url?scp=84880744783&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:84880744783

SP - 15

EP - 20

JO - IJCAI

JF - IJCAI

SN - 1045-0823

Y2 - 30 July 2005 through 5 August 2005

ER -

ID: 36369430