Interactive Exploration of Implicit and Explicit Relations in Faceted Datasets

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.
Type de document :
Article dans une revue
IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2013, 19 (2), pp.2080-2089. 〈10.1109/TVCG.2013.167〉
Liste complète des métadonnées

Littérature citée [40 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01558714
Contributeur : Fanny Chevalier <>
Soumis le : dimanche 9 juillet 2017 - 14:49:04
Dernière modification le : lundi 10 juillet 2017 - 10:14:26
Document(s) archivé(s) le : mercredi 24 janvier 2018 - 06:30:27

Fichier

pivotslice.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

Jian Zhao, Christopher Collins, Fanny Chevalier, Ravin Balakrishnan. Interactive Exploration of Implicit and Explicit Relations in Faceted Datasets. IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2013, 19 (2), pp.2080-2089. 〈10.1109/TVCG.2013.167〉. 〈hal-01558714〉

Partager

Métriques

Consultations de la notice

21

Téléchargements de fichiers

57