Name
Title | ||
|---|---|---|
Dynamic topography information landscapes: an incremental approach to visual knowledge discovery |
Abstract | ||
|---|---|---|
Incrementally computed information landscapes are an effective means to visualize longitudinal changes in large document repositories. Resembling tectonic processes in the natural world, dynamic rendering reflects both long-term trends and short-term fluctuations in such repositories. To visualize the rise and decay of topics, the mapping algorithm elevates and lowers related sets of concentric contour lines. Addressing the growing number of documents to be processed by state-of-the-art knowledge discovery applications, we introduce an incremental, scalable approach for generating such landscapes. The processing pipeline includes a number of sequential tasks, from crawling, filtering and pre-processing Web content to projecting, labeling and rendering the aggregated information. Incremental processing steps are localized in the projection stage consisting of document clustering, cluster force-directed placement and fast document positioning. We evaluate the proposed framework by contrasting layout qualities of incremental versus non-incremental versions. Documents for the experiments stem from the blog sample of the Media Watch on Climate Change (www.ecoresearch.net/climate). Experimental results indicate that our incremental computation approach is capable of accurately generating dynamic information landscapes. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-32584-7_29 | DaWaK |
Keywords | Field | DocType |
document clustering,fast document positioning,dynamic information landscape,dynamic topography information landscape,incremental processing step,visual knowledge discovery,incremental computation approach,incrementally computed information landscape,processing pipeline,large document repository,incremental approach,dynamic rendering,aggregated information,information visualization,multi dimensional scaling | Data mining,Crawling,Information visualization,Multidimensional scaling,Computer science,Document clustering,Knowledge extraction,Rendering (computer graphics),Web content,Database,Scalability | Conference |
Citations | PageRank | References |
2 | 0.38 | 24 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kamran Ali Ahmad Syed | 1 | 11 | 1.37 |
| Mark Kröll | 2 | 148 | 18.39 |
| Vedran Sabol | 3 | 304 | 31.98 |
| Arno Scharl | 4 | 696 | 67.13 |
| Stefan Gindl | 5 | 152 | 9.93 |
| Michael Granitzer | 6 | 822 | 80.14 |
| Albert Weichselbraun | 7 | 291 | 28.39 |