Tight Coupling of Personal Interests with Multi-dimensional Visualization for Exploration and Analysis of Text Collections

Thai, Vinh Tuan; Handschuh, Siegfried; Decker, Stefan

doi:10.1109/iv.2008.28

Cited by 10 publications

(3 citation statements)

References 19 publications

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“…Although it meets two of the design desiderata mentioned in Section 1.2 to support faceted filtering interactions, the visualization proposed in Thai et al [2008b] provides no visual abstraction to cater for a large number of documents and no interactive ordering of facet values to enable users to easily compare items across different facet values (entities). In the following sections, we focus on the proposed solution for those two issues.…”

Section: Previous Designs and Current Focusmentioning

confidence: 99%

Visual Abstraction and Ordering in Faceted Browsing of Text Collections

Thai

Rouille²,

Handschuh

2012

ACM Trans. Intell. Syst. Technol.

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Faceted navigation is a technique for the exploration and discovery of a collection of resources, which can be of various types including text documents. While being information-rich resources, documents are usually not treated as content-bearing items in faceted browsing interfaces, and yet the required clean metadata is not always available or matches users' interest. In addition, the existing linear listing paradigm for representing result items from the faceted filtering process makes it difficult for users to traverse or compare across facet values in different orders of importance to them. In this context, we report in this article a visual support toward faceted browsing of a collection of documents based on a set of entities of interest to users. Our proposed approach involves using a multi-dimensional visualization as an alternative to the linear listing of focus items. In this visualization, visual abstraction based on a combination of a conceptual structure and the structural equivalence of documents can be simultaneously used to deal with a large number of items. Furthermore, the approach also enables visual ordering based on the importance of facet values to support prioritized, cross-facet comparisons of focus items. A user study was conducted and the results suggest that interfaces using the proposed approach can support users better in exploratory tasks and were also well-liked by the participants of the study, with the hybrid interface combining the multidimensional visualization with the linear listing receiving the most favorable ratings.Faceted browsing is a navigation technique for the exploration and discovery of a resource collection [Hearst 2008]. Apart from being studied in many research works such P.-Y. Rouille participated in this work during a research internship at DERI.

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Section: Previous Designs and Current Focusmentioning

confidence: 99%

Visual Abstraction and Ordering in Faceted Browsing of Text Collections

Thai

Rouille²,

Handschuh

2012

ACM Trans. Intell. Syst. Technol.

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“…We proposed in [11] the initial idea on a matrix-based multidimensional visualization, which was inspired by FOCUS [9] and TableLens [7], to show the correspondences between documents and a taxonomy of entities of interest to users. This visualization, in effect, supports filtering similarly to faceted navigation in that users can select entities from hierarchical facets and then documents relevant to those entities are displayed.…”

Section: Proposed Visualizationmentioning

confidence: 99%

Visual abstraction and ordering in faceted browsing of text collections

Thai

Handschuh

2010

Proceedings of the First International Workshop on Intelligent Visual Interfaces for Text Analysis

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“…In IVEA [30,31] the user creates their own view over a text collection by dragging and dropping ontology concepts onto a scatter plot panel. The filters provide a multidimensional view of the document collection as a matrix with colour coded values.…”

Section: Related Workmentioning

confidence: 99%

Multi Visualization and Dynamic Query for Effective Exploration of Semantic Data

Petrelli

Mazumdar

Dadzie

et al. 2009

Lecture Notes in Computer Science

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Abstract. Semantic formalisms represent content in a uniform way according to ontologies. This enables manipulation and reasoning via automated means (e.g. Semantic Web services), but limits the user's ability to explore the semantic data from a point of view that originates from knowledge representation motivations. We show how, for user consumption, a visualization of semantic data according to some easily graspable dimensions (e.g. space and time) provides effective sense-making of data. In this paper, we look holistically at the interaction between users and semantic data, and propose multiple visualization strategies and dynamic filters to support the exploration of semantic-rich data. We discuss a user evaluation and how interaction challenges could be overcome to create an effective user-centred framework for the visualization and manipulation of semantic data. The approach has been implemented and evaluated on a real company archive.

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Tight Coupling of Personal Interests with Multi-dimensional Visualization for Exploration and Analysis of Text Collections

Cited by 10 publications

References 19 publications

Visual Abstraction and Ordering in Faceted Browsing of Text Collections

Visual Abstraction and Ordering in Faceted Browsing of Text Collections

Visual abstraction and ordering in faceted browsing of text collections

Multi Visualization and Dynamic Query for Effective Exploration of Semantic Data

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