The paper proposes three different kinds of science models as value-added services that are integrated in the retrieval process to enhance retrieval quality. The paper discusses t...
Philipp Mayr, Peter Mutschke, Vivien Petras, Phili...
This paper describes the participation of DAEDALUS at the ImageCLEF 2010 Wikipedia Retrieval task. The main focus of our experiments is to evaluate the impact in the image retrieva...
Documents often display a structure, e.g., several sections, each with several subsections and so on. Taking into account the structure of a document allows the retrieval process ...
Capitalizing on the intuitive underlying assumptions of Language Modelling for Ad-Hoc Retrieval we present a novel approach that is capable of injecting the user’s context of th...
Leif Azzopardi, Mark Girolami, Cornelis Joost van ...
Abstract. We propose an approach to Distributed Information Retrieval based on the periodic and incremental centralisation of full-text indices of widely dispersed and autonomously...
Fabio Simeoni, Murat Yakici, Steve Neely, Fabio Cr...
In distributed computing systems, it is unwise to move data to the point of program code, but instead process data at the point of storage. This concept is even more appropriate t...
Abstract. We propose a new approach for enhancing collaborative information retrieval by means of incorporating positional data for a location-aware personalized retrieval process....
Andreas Behrend, Frank Reichartz, Christian Dorau,...
An approach to target-based image retrieval is described based on on-line rank-based learning. User feedback obtained via interaction with 2D image layouts provides qualitative co...
This paper examines the problem of image retrieval from large, heterogeneous image databases. We present a technique that fulfills several needs identified by surveying recent res...