Abstract | ||
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We propose a new visualization system that automatically draws a graph from a large amount of numerical data corresponding to a user's requirement. The system has the following functions: to understand the user's requirement, to select the necessary data from a datatable, to convert and aggregate the selected data to a suitable granularity, and to visualize the data with an appropriate graphical style. In this paper, we introduce a semantic frame in order to formally deal with the user's requirement. The semantic frame consists of two subframes: one is mainly for selecting and restructuring data, and the other is mainly for choosing an appropriate graph-type and emphasizing focal characteristics. We also explain an aggregation algorithm for making the necessary datatable. With this system, a user only inputs his/her requirement described in a natural language, and then he/she is able to get an appropriate graph from an enormous amount of data even if the data granularity is not well suited to the requirement. |
Year | Venue | Keywords |
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2000 | ECAI 2000: 14TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS | structured data,data visualization,visual system,natural language |
Field | DocType | Volume |
Data visualization,Computer graphics (images),Information retrieval,Information visualization,Computer science,Visualization,Visual analytics,Interactive visual analysis,Artificial intelligence,Machine learning,Data flow diagram | Conference | 54 |
ISSN | Citations | PageRank |
0922-6389 | 3 | 0.50 |
References | Authors | |
6 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mitsunori Matsushita | 1 | 138 | 29.70 |
Hayato Yonezawa | 2 | 8 | 1.14 |
Tsuneaki Kato | 3 | 271 | 38.70 |