Picture of virus under microscope

Research under the microscope...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs.

Strathprints serves world leading Open Access research by the University of Strathclyde, including research by the Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), where research centres such as the Industrial Biotechnology Innovation Centre (IBioIC), the Cancer Research UK Formulation Unit, SeaBioTech and the Centre for Biophotonics are based.

Explore SIPBS research

Clustering top-ranking sentences for information access

Tombros, A. and Jose, J. and Ruthven, I. (2004) Clustering top-ranking sentences for information access. In: Research and AdvancedTechnology for Digital Libraries. Lecture Notes in Computer Science . Lecture Notes in Computer Science, Springer, Berlin, pp. 523-528. ISBN 3-540-40726-3

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

In this paper we propose the clustering of top-ranking sentences (TRS) for effective information access. Top-ranking sentences are selected by a query-biased sentence extraction model. By clustering such sentences, we aim to generate and present to users a personalised information space. We outline our approach in detail and we describe how we plan to utilise user interaction with this space for effective information access. We present an initial evaluation of TRS clustering by comparing its effectiveness at providing access to useful information to that of document clustering.