SOPHIA: an interactive cluster-based retrieval system for the OHSUMED collection

Author

Dobrynin, Vladimir ; Patterson, David ; Galushka, Mykola ; Rooney, Niall

Author_Institution

Dept. of Programming Technol., St. Petersburg State Univ., Russia

Volume

9

Issue

2

fYear

2005

fDate

6/1/2005 12:00:00 AM

Firstpage

256

Lastpage

265

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

information retrieval; information retrieval systems; interactive systems; medical information systems; MEDLINE testset collection; OHSUMED collection; SOPHIA; cluster-based information retrieval; document corpus; domain-specific document; exploratory search; interactive cluster-based retrieval system; interactive search faculty; semantically meaningful visual clustering; unsupervised distributional clustering technique; Clustering algorithms; Euclidean distance; Helium; Indexing; Information retrieval; Knowledge engineering; Partitioning algorithms; Power system modeling; Testing; Vocabulary; Clustering; MEDLINE; information retrieval; Artificial Intelligence; Cluster Analysis; Information Storage and Retrieval; Vocabulary, Controlled;

fLanguage

English

Journal_Title

Information Technology in Biomedicine, IEEE Transactions on

Publisher

ieee

ISSN

1089-7771

Type

jour

DOI

10.1109/TITB.2005.847184

Filename

1435423