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.
authors.affiliation: Department of Programming Technology, Saint Petersburg State University, St. Petersburg, Russia. vdobr@oasis.apmath.spbu.ru
authors.forename: Vladimir
authors.initials: V
authors.lastname: Dobrynin
authors.forename: David
authors.initials: D
authors.lastname: Patterson
authors.forename: Mykola
authors.initials: M
authors.lastname: Galushka
authors.forename: Niall
authors.initials: N
authors.lastname: Rooney
mesh_terms: D001185:Artificial Intelligence; D016000:Cluster Analysis; D016247:Information Storage and Retrieval; D018875:Vocabulary, Controlled