Semantic Blossom Graph: A New Approach for Visual Graph Exploration

Rauch, Manuela; Wozelka, Ralph; Veas, Eduardo; Sabol, Vedran

doi:10.1109/iv.2014.36

Cited by 1 publication

(1 citation statement)

References 18 publications

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“…Initially the graph is populated with the six most relevant search results, where additional documents or facets can be added through drag & drop from the result list or the facet tree, respectively. On mouse-over a node is represented by a semantic blossom [25] allowing the user to expand relations along a path they are interested in: by clicking on the corresponding leaf only nodes of the corresponding type will be expanded. Additionally, users can restrict the set of expanded nodes by taking in consideration the context (i.e.…”

Section: Visualisationsmentioning

confidence: 99%

Knowminer Search - A Multi-visualisation Collaborative Approach to Search Result Analysis

Rauch

Klieber

Wozelka

et al. 2015

2015 19th International Conference on Information Visualisation

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The amount of information available on the internet and within enterprises has reached an incredible dimension. Efficiently finding and understanding information and thereby saving resources remains one of the major challenges in our daily work. Powerful text analysis methods, a scalable faceted retrieval engine and a well-designed interactive user interface are required to address the problem. Besides providing means for drilling-down to the relevant piece of information, a part of the challenge arises from the need of analysing and visualising data to discover relationships and correlations, gain an overview of data distributions and unveil trends. Visual interfaces leverage the enormous bandwidth of the human visual system to support pattern discovery in large amounts of data. Our Knowminer search builds upon the well-known faceted search approach which is extended with interactive visualisations allowing users to analyse different aspects of the result set. Additionally, our system provides functionality for organising interesting search results into portfolios, and also supports social features for rating and boosting search results and for sharing and annotating portfolios.

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Section: Visualisationsmentioning

confidence: 99%