Ruddle, RA (2010) INSPIRE: A new method of mapping information spaces. Proceedings of the International Conference on Information Visualisation. 273 - 279 . ISSN 1093-9547
Abstract
Information spaces such the WWW are the most challenging type of space that many people navigate during everyday life. Unlike the real world, there are no effective maps of information spaces, so people are forced to rely on search engines which are only suited to some types of retrieval task. This paper describes a new method for creating maps of information spaces, called INSPIRE. The INSPIRE engine is a tree drawing algorithm that uses a city metaphor, comprised of streets and buildings, and generates maps entirely automatically from webcrawl data. A technical evaluation was carried out using data from 112 universities, which had up to 485,775 pages on their websites. Although they take longer to compute than radial layouts (e.g., the Bubble Tree), INSPIRE maps are much more compact. INSPIRE maps also have desirable aesthetic properties of being orthogonal, preserving symmetry between identical subtrees and being planar.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2010, IEEE. This is an author produced version of a paper published in Information Visualisation (IV), 2010 14th International Conference. Uploaded in accordance with the publisher's self-archiving policy. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Jun 2012 11:40 |
Last Modified: | 31 Oct 2016 15:55 |
Published Version: | http://dx.doi.org/10.1109/IV.2010.48 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/IV.2010.48 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:74324 |