Name
Abstract | ||
|---|---|---|
The analysis of binary data remains a challenge, especially for large or potentially inconsistent files. Traditionally, hex editors only make limited use of semantic information available to the user. We present an editor that supports user-supplied semantic data definitions. This semantic information is used throughout the program to realize semantic data visualization and data exploration capabilities not present in similar systems. Visualization and human-computer interaction techniques are applied. We show that this makes recognizing the structure of unknown or inconsistent data much more effective. Our approach demonstrates concepts that can be applied to the visual analysis of raw data in general. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1117/12.845450 | VISUALIZATION AND DATA ANALYSIS 2010 |
Keywords | Field | DocType |
Hex editor, semantic lenses, raw data, diagnostics, error recovery | Data science,Computer science,Raw data,Artificial intelligence,Semantic computing,Semantic data model,Computer vision,Data visualization,Data exploration,Information retrieval,Visualization,Binary data,Hex editor | Conference |
Volume | ISSN | Citations |
7530 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Wörner | 1 | 168 | 7.39 |
| Guido Reina | 2 | 297 | 31.26 |
| Sebastian Grottel | 3 | 140 | 10.41 |
| Thomas Ertl | 4 | 4417 | 401.52 |