Visualisation of massive retrieved newsfeeds in interactive 3D
Rossi, A.M.
Varga, M.
DERA, Malvern;
This paper appears in: Information Visualization, 1999. Proceedings. 1999 IEEE International Conference on
Publication Date: 1999
On page(s): 12-17
Meeting Date: 07/14/1999 - 07/16/1999
Location: London, UK
ISBN: 0-7695-0210-5
References Cited: 7
INSPEC Accession Number: 6346580
Digital Object Identifier: 10.1109/IV.1999.781528
Current Version Published: 2002-08-06
Abstract
This report describes work carried out under the Automatic
Information Retrieval project at DERA, in building a 4D landscape (a
TextScape) which acts as a graphical user interface (GUI) to the
DERA-OKAPI search engine. Traditionally search engines present a 2D
visual interface (usually a windows-icons-menus-pointer (WIMP)
interface) to the user. Key words are entered and the `hits' are
displayed usually in a list form. Unfortunately, the number of documents
retrieved is often overwhelming and a significant amount of time is
still required to read abstracts and sections of documents in order to
determine if they are relevant, even after the search engine has
performed relevance ranking. The challenge is how to improve on this. We
propose to render the information most immediately required onto the
visual attributes of a 3D landscape. Shape, colour and size can then
project the information that is sought, and mining the object hierarchy
visually returns information more rapidly
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