J. Hu, A. Bailey, and A. Sutcliffe. IV '04: Proceedings of the Information Visualisation, Eighth International Conference on (IV'04), page 745--751. Washington, DC, USA, IEEE Computer Society, (2004)
DOI: 10.1109/IV.2004.144
Abstract
This paper describes an approach for visualisation specification and retrieval, with the aim of supporting the reuse of visualisation design knowledge. For this purpose, the approach focuses on requirement abstraction, visualisation characterisation, mapping rules and visualisation retrieval. Requirement abstraction represents knowledge for problem understanding. Visualisation characterisation and mapping rules represent the design knowledge. Visualisation retrieval makes the knowledge reuse effective. The novelties include using generic features for the visualisation specification and proposing a vector model for visualisation retrieval.
- presents a taxonomy of features vis tools can support, and define a tool as a vector of those features
- suffers from the task-orientation bias
- no empirical validation
- similar to Ian's model driven vis
%0 Conference Paper
%1 hu04
%A Hu, Jiawei
%A Bailey, Alex
%A Sutcliffe, Alistair
%B IV '04: Proceedings of the Information Visualisation, Eighth International Conference on (IV'04)
%C Washington, DC, USA
%D 2004
%I IEEE Computer Society
%K requirements visualization
%P 745--751
%R 10.1109/IV.2004.144
%T Visualisation Design Knowledge Reuse
%U http://portal.acm.org/citation.cfm?id=1018435.1021697
%X This paper describes an approach for visualisation specification and retrieval, with the aim of supporting the reuse of visualisation design knowledge. For this purpose, the approach focuses on requirement abstraction, visualisation characterisation, mapping rules and visualisation retrieval. Requirement abstraction represents knowledge for problem understanding. Visualisation characterisation and mapping rules represent the design knowledge. Visualisation retrieval makes the knowledge reuse effective. The novelties include using generic features for the visualisation specification and proposing a vector model for visualisation retrieval.
@inproceedings{hu04,
abstract = {This paper describes an approach for visualisation specification and retrieval, with the aim of supporting the reuse of visualisation design knowledge. For this purpose, the approach focuses on requirement abstraction, visualisation characterisation, mapping rules and visualisation retrieval. Requirement abstraction represents knowledge for problem understanding. Visualisation characterisation and mapping rules represent the design knowledge. Visualisation retrieval makes the knowledge reuse effective. The novelties include using generic features for the visualisation specification and proposing a vector model for visualisation retrieval.},
added-at = {2006-03-24T16:34:33.000+0100},
address = {Washington, DC, USA},
author = {Hu, Jiawei and Bailey, Alex and Sutcliffe, Alistair},
biburl = {https://www.bibsonomy.org/bibtex/2511ca4a68769b04443011b4cea773571/neilernst},
booktitle = {IV '04: Proceedings of the Information Visualisation, Eighth International Conference on (IV'04)},
citeulike-article-id = {251209},
comment = {- presents a taxonomy of features vis tools can support, and define a tool as a vector of those features
- suffers from the task-orientation bias
- no empirical validation
- similar to Ian's model driven vis},
description = {sdasda},
doi = {10.1109/IV.2004.144},
interhash = {73a22c57140e6fb645045b201ebaa7a6},
intrahash = {511ca4a68769b04443011b4cea773571},
keywords = {requirements visualization},
pages = {745--751},
priority = {0},
publisher = {IEEE Computer Society},
timestamp = {2006-03-24T16:34:33.000+0100},
title = {Visualisation Design Knowledge Reuse},
url = {http://portal.acm.org/citation.cfm?id=1018435.1021697},
year = 2004
}