Placing text labels on maps and diagrams
Graphics gems IV
An empirical study of algorithms for point-feature label placement
ACM Transactions on Graphics (TOG)
Optimization of roll cutting in clothing industry
Computers and Operations Research
Map labeling with application to graph drawing
Drawing graphs
Investigating human-computer optimization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A framework for human-computer interaction in directed graph drawing
APVis '01 Proceedings of the 2001 Asia-Pacific symposium on Information visualisation - Volume 9
The Computational Geometry Impact Task Force Report: An Executive Summary
FCRC '96/WACG '96 Selected papers from the Workshop on Applied Computational Geormetry, Towards Geometric Engineering
Interactive Evolutionary Computation as Humanized Computational Intelligence Technology
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
User Hints for Directed Graph Drawing
GD '01 Revised Papers from the 9th International Symposium on Graph Drawing
Graph Theory With Applications
Graph Theory With Applications
APVis '04 Proceedings of the 2004 Australasian symposium on Information Visualisation - Volume 35
User hints: a framework for interactive optimization
Future Generation Computer Systems
An efficient algorithm for scatter chart labeling
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
User hints: a framework for interactive optimization
Future Generation Computer Systems
Automatic visualisation of metro maps
Journal of Visual Languages and Computing
GD'04 Proceedings of the 12th international conference on Graph Drawing
Hi-index | 0.00 |
The Map Labelling Problem appears in several applications, mainly in Cartography. Although much research on this problem has been done, it is interesting to note that map-labelling processes in commercial fields are very often executed manually or with little support of automatic tools. In general, practical map-labelling problems involve human subjective domain knowledge about label placement that is not entirely covered by the existing scientific approaches. In the present paper, we describe an interactive framework for minimising this technological gap. The framework allows users to interact with a labelling process by giving hints, which represent domain knowledge or adjustments that help an optimisation method to produce good labelling results. A map labelling system based on the framework has been implemented and an initial evaluation shows that it is promising.