Name
Abstract | ||
|---|---|---|
Many datasets, such as scientific literature collections, contain multiple heterogeneous facets which derive implicit relations, as well as explicit relational references between data items. The exploration of this data is challenging not only because of large data scales but also the complexity of resource structures and semantics. In this paper, we present PivotSlice, an interactive visualization technique which provides efficient faceted browsing as well as flexible capabilities to discover data relationships. With the metaphor of direct manipulation, PivotSlice allows the user to visually and logically construct a series of dynamic queries over the data, based on a multi-focus and multi-scale tabular view that subdivides the entire dataset into several meaningful parts with customized semantics. PivotSlice further facilitates the visual exploration and sensemaking process through features including live search and integration of online data, graphical interaction histories and smoothly animated visual state transitions. We evaluated PivotSlice through a qualitative lab study with university researchers and report the findings from our observations and interviews. We also demonstrate the effectiveness of PivotSlice using a scenario of exploring a repository of information visualization literature. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TVCG.2013.167 | IEEE Trans. Vis. Comput. Graph. |
Keywords | Field | DocType |
data relationship,pivotslice interactive visualization technique,live search,interaction,customized semantics,data item,visual state transition,smoothly animated visual state transitions,explicit relational references,interactive exploration,faceted datasets,visual exploration,data exploration,large data scale,information filters,data visualisation,network exploration,information visualization literature,visual analytics,scientific literature collection,online data integration,faceted dataset,online data,data visualization,market research,graphical interaction history,explicit relations,information visualization,direct manipulation metaphor,visual exploration process,faceted browsing,data integration,dynamic query,interactive visualization technique,sensemaking process,implicit relations,multifocus multiscale tabular view,faceted searches | Data integration,Computer vision,Data visualization,Information visualization,Computer science,Sensemaking,Visual analytics,Interactive visualization,Artificial intelligence,Computer graphics,Semantics | Journal |
Volume | Issue | ISSN |
19 | 12 | 1941-0506 |
Citations | PageRank | References |
31 | 0.87 | 25 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jian Zhao | 1 | 405 | 26.77 |
| Christopher Collins | 2 | 1037 | 49.74 |
| Fanny Chevalier | 3 | 649 | 36.33 |
| Ravin Balakrishnan | 4 | 6497 | 403.55 |