Name
Abstract | ||
|---|---|---|
Understanding stakeholder perceptions and assessing the impact of campaigns are key questions of communication experts. Web intelligence platforms help to answer such questions, provided that they are scalable enough to analyze and visualize information flows from volatile online sources in real time. This paper presents a distributed architecture for aggregating Web content repositories from Web sites and social media streams, memory-efficient methods to extract factual and affective knowledge, and interactive visualization techniques to explore the extracted knowledge. The presented examples stem from the Media Watch on Climate Change, a public Web portal that aggregates environmental content from a range of online sources. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/HICSS.2016.467 | PROCEEDINGS OF THE 49TH ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS 2016) |
Field | DocType | ISSN |
Data science,Web development,World Wide Web,Web intelligence,Web mapping,Computer science,Web standards,Data Web,Web modeling,Web 2.0,Social Semantic Web | Conference | 1060-3425 |
Citations | PageRank | References |
5 | 0.47 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arno Scharl | 1 | 696 | 67.13 |
| Albert Weichselbraun | 2 | 291 | 28.39 |
| Max Göbel | 3 | 56 | 5.01 |
| Walter Rafelsberger | 4 | 50 | 3.96 |
| Ruslan Kamolov | 5 | 14 | 0.92 |