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SOPHIA : An interactive cluster-based retrieval system for the OHSUMED collection. / Dobrynin, Vladimir; Patterson, David; Galushka, Mykola; Rooney, Niall.

In: IEEE Transactions on Information Technology in Biomedicine, Vol. 9, No. 2, 01.06.2005, p. 256-265.

Research output: Contribution to journal › Article › peer-review

Harvard

Dobrynin, V, Patterson, D, Galushka, M & Rooney, N 2005, 'SOPHIA: An interactive cluster-based retrieval system for the OHSUMED collection', IEEE Transactions on Information Technology in Biomedicine, vol. 9, no. 2, pp. 256-265. https://doi.org/10.1109/TITB.2005.847184

APA

Dobrynin, V., Patterson, D., Galushka, M., & Rooney, N. (2005). SOPHIA: An interactive cluster-based retrieval system for the OHSUMED collection. IEEE Transactions on Information Technology in Biomedicine, 9(2), 256-265. https://doi.org/10.1109/TITB.2005.847184

Vancouver

Dobrynin V, Patterson D, Galushka M, Rooney N. SOPHIA: An interactive cluster-based retrieval system for the OHSUMED collection. IEEE Transactions on Information Technology in Biomedicine. 2005 Jun 1;9(2):256-265. https://doi.org/10.1109/TITB.2005.847184

Author

Dobrynin, Vladimir ; Patterson, David ; Galushka, Mykola ; Rooney, Niall. / SOPHIA : An interactive cluster-based retrieval system for the OHSUMED collection. In: IEEE Transactions on Information Technology in Biomedicine. 2005 ; Vol. 9, No. 2. pp. 256-265.

BibTeX

@article{85bfbef0550d4bc1a86be5cb89056439,
title = "SOPHIA: An interactive cluster-based retrieval system for the OHSUMED collection",
abstract = "The ability to perform an exploratory search and retrieval of relevant documents from a large collection of domain-specific documents is an important requirement both in the field of medicine and other areas. In this paper, we present a unsupervised distributional clustering technique called SOPHIA. SOPHIA provides a semantically meaningful visual clustering of the document corpus in conjunction with an intuitive interactive search facility. We assess the effectiveness of SOPHIA's cluster-based information retrieval for the MEDLINE testset collection known as OHSUMED.",
keywords = "Clustering, Information retrieval, MEDLINE",
author = "Vladimir Dobrynin and David Patterson and Mykola Galushka and Niall Rooney",
year = "2005",
month = jun,
day = "1",
doi = "10.1109/TITB.2005.847184",
language = "English",
volume = "9",
pages = "256--265",
journal = "IEEE Journal of Biomedical and Health Informatics",
issn = "2168-2194",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",

}

RIS

TY - JOUR

T1 - SOPHIA

T2 - An interactive cluster-based retrieval system for the OHSUMED collection

AU - Dobrynin, Vladimir

AU - Patterson, David

AU - Galushka, Mykola

AU - Rooney, Niall

PY - 2005/6/1

Y1 - 2005/6/1

N2 - The ability to perform an exploratory search and retrieval of relevant documents from a large collection of domain-specific documents is an important requirement both in the field of medicine and other areas. In this paper, we present a unsupervised distributional clustering technique called SOPHIA. SOPHIA provides a semantically meaningful visual clustering of the document corpus in conjunction with an intuitive interactive search facility. We assess the effectiveness of SOPHIA's cluster-based information retrieval for the MEDLINE testset collection known as OHSUMED.

AB - The ability to perform an exploratory search and retrieval of relevant documents from a large collection of domain-specific documents is an important requirement both in the field of medicine and other areas. In this paper, we present a unsupervised distributional clustering technique called SOPHIA. SOPHIA provides a semantically meaningful visual clustering of the document corpus in conjunction with an intuitive interactive search facility. We assess the effectiveness of SOPHIA's cluster-based information retrieval for the MEDLINE testset collection known as OHSUMED.

KW - Clustering

KW - Information retrieval

KW - MEDLINE

UR - http://www.scopus.com/inward/record.url?scp=21444459733&partnerID=8YFLogxK

U2 - 10.1109/TITB.2005.847184

DO - 10.1109/TITB.2005.847184

M3 - Article

C2 - 16138542

AN - SCOPUS:21444459733

VL - 9

SP - 256

EP - 265

JO - IEEE Journal of Biomedical and Health Informatics

JF - IEEE Journal of Biomedical and Health Informatics

SN - 2168-2194

IS - 2

ER -

ID: 36369275