Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics 2013
DOI: 10.1145/2479787.2479824
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Design and evaluation of overview components for effective semantic data exploration

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Cited by 4 publications
(3 citation statements)
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“…The goal of the aforementioned research is to tackle the challenges of structuring and organizing semantic data by leveraging existent IA components. For instance, authors of [43] adapted both the global and local navigation menu by dynamically taking into consideration the frequency of each menu class. Classes that are heavily instantiated have a more prominent positioning in the menu bar.…”
Section: The Not So Prevalent Categoriesmentioning
confidence: 99%
See 1 more Smart Citation
“…The goal of the aforementioned research is to tackle the challenges of structuring and organizing semantic data by leveraging existent IA components. For instance, authors of [43] adapted both the global and local navigation menu by dynamically taking into consideration the frequency of each menu class. Classes that are heavily instantiated have a more prominent positioning in the menu bar.…”
Section: The Not So Prevalent Categoriesmentioning
confidence: 99%
“…Classes that are heavily instantiated have a more prominent positioning in the menu bar. Brunetti [43] also used site maps (based on the original hierarchy of the data), site indexes (alphabetical order) and tree maps as an alternative navigation components. The study's empirical findings showed that, navigational menus overcame the use of other components for finding highly instantiated items.…”
Section: The Not So Prevalent Categoriesmentioning
confidence: 99%
“…It is obvious that hierarchies can be conveyed with this visualization in an effective way, but further enhancements of the Treemap proofed its applicability for various data [SW01, SP09, Cox08, NBH09, NSB * 10, RBSL * 12, Bru13]. Brunetti for instance applied the Treemap visualization for semantic data [Bru13]. Cox applied a circular Treemap to visualize the customer price index of New York [Cox08] and used color of the spaces to visualize the temporal changes.…”
Section: Area-based Visualizationsmentioning
confidence: 99%