data visualisation
FacetMap: A Scalable Search and Browse Visualization
Soumis par admin le jeu, 05/08/2008 - 15:39.
Published in
- browse visualization
- data store text-based browsing
- data store text-based searching
- data visualisation
- faceted metadata
- faceted metadata-rich data stores
- FacetMap graphical approach
- FacetMap interactive query-driven visualization
- graphical visualization
- interactive information retrieval
- interactive systems
- meta data
- personal information systems
- query processing
- search visualization
- visual metaphor
- web
Publication Type:
Journal ArticleSource:
Visualization and Computer Graphics, IEEE Transactions on, Volume 12, p.797-804 (2006)Keywords:
browse visualization; data store text-based browsing; data store text-based searching; data visualisation; faceted metadata; faceted metadata-rich data stores; FacetMap graphical approach; FacetMap interactive query-driven visualization; graphical visualization; GCoordinated views and tight coupling to support meta searching
Soumis par admin le jeu, 05/08/2008 - 15:39.
Publication Type:
Conference PaperSource:
Coordinated and Multiple Views in Exploratory Visualization, 2004. Proceedings. Second International Conference on, p.39-48 (2004)Keywords:
aggregation hierarchy; complex Boolean constraints; coordinated views; data visualisation; filtering controls; filtering tools; information filtering; information filters; information visualization; MetaCrystal; search engines; support meta searching; tight couplingAbstract:
This paper addresses how information visualization can support users in the meta search process and some of the design issues that arise. It describes MetaCrystal and its linked tools that enable users to control how to combine and filter the search results by different search engines. A hierarchy of aggregation is employed to provide users with quick insights into the number of documents found by a specific number or combination of search engines. MetaCrystal enables users to visually perform advanced filtering operations, such as complex Boolean constraints. This paper also discusses how to support tight coupling between the filtering controls and tools that operate at different levels of aggregation.
Network Visualization by Semantic Substrates
Soumis par admin le jeu, 05/08/2008 - 15:39.
Publication Type:
Journal ArticleSource:
Visualization and Computer Graphics, IEEE Transactions on, Volume 12, p.733-740 (2006)Keywords:
data visualisation; graphical user interfaces; information visualization; information visualization designers; legal citations; legal precedent data; network visualization; Network visualization; NVSS 1.0; semantic substrate; user-defined semantic substratesToward a Deeper Understanding of the Role of Interaction in Information Visualization
Soumis par admin le jeu, 05/08/2008 - 15:39.
Publication Type:
Journal ArticleSource:
Visualization and Computer Graphics, IEEE Transactions on, Volume 13, p.1224-1231 (2007)Keywords:
data visualisation; human computer interaction; information visualization; Information visualization; Infovis community; Infovis interaction techniques; Infovis systems; interaction; interaction techniques; taxonomy; visual analyticsInformation visualization and visual data mining
Soumis par admin le jeu, 05/08/2008 - 15:39.
Publication Type:
Journal ArticleSource:
Transactions on Visualization and Computer Graphics, Volume 8, p.1-8 (2002)Keywords:
data mining; data type; data visualisation; distortion technique; information visualization; interaction technique; visual data exploration; visual data miningVisualization support for interactive query refinement
Soumis par admin le jeu, 05/08/2008 - 15:39.
Published in
- computing classification system
- data visualisation
- information needs
- information retrieval support system
- information retrieval system
- interactive query refinement
- interactive systems
- internet
- knowledge base
- knowledge based systems
- query formulation
- query space
- query term
- visual information processing
- visualization support
- web search
Publication Type:
Conference PaperSource:
Web Intelligence, 2005. Proceedings. The 2005 IEEE/WIC/ACM International Conference on, p.657-665 (2005)Keywords:
computing classification system; data visualisation; Google; information needs; information retrieval support system; information retrieval system; interactive query refinement; interactive systems; Internet; knowledge base; knowledge based systems; query formulatioHow visual query tools can support users searching the Internet
Soumis par admin le jeu, 05/08/2008 - 15:39.
Publication Type:
Conference PaperSource:
Information Visualisation, 2004. IV 2004. Proceedings. Eighth International Conference on, p.329-334 (2004)ISBN:
1093-9547Keywords:
advanced Internet queries; Category View; Cluster Bulls-Eye; data visualisation; individual search terms; Internet; meta search coordination; MetaCrystal toolset; query coordination process; query formulation; search engines; unique visual patterns; visual query toolAbstract:
Visual tools have been developed to help users formulate advanced Internet queries. Users can control the query coordination process at the level of the individual search terms or at the level of the search engines to be consulted. This work addresses the usability issue of the level at which visual query tools can provide the greatest benefit to users searching the Internet. MetaCrystal and its Category View and Cluster Bulls-Eye tools are used to visualize the degree of overlap between the results returned by different query formulations or search engines. It is shown that certain types of similarity relationships between ranked lists give rise to unique visual patterns in the Cluster Bulls-Eye. The MetaCrystal toolset is used to show why visual query tools may provide greater benefits to users who want to coordinate meta searches rather than individual search terms.
Evaluation of different visualizations of Web search results
Soumis par admin le jeu, 05/08/2008 - 15:39.
Published in
Publication Type:
Conference PaperSource:
Database and Expert Systems Applications, 2000. Proceedings. 11th International Workshop on, p.586-590 (2000)URL:
http://ieeexplore.ieee.org/iel4/7035/18943/00875084.pdfKeywords:
BarGraph; business data processing; business information; data visualisation; future work; HTML-List; information resources; information seeking process; INSYDER; ResultTable; ScatterPlot; search engines; search result phase; SegmentViews; visual information seeking syAbstract:
The paper discusses the evaluation of a visual information seeking system for the Web called INSYDER. The aim of INSYDER is to find business information on the Web. The evaluation compares different visualizations including HTML-List, ResultTable, ScatterPlot, BarGraph and SegmentViews. These visualizations support the interpretation of the search result phase of the information seeking process. First results of the evaluation with forty users are presented and an outlook on future work is given
Coordinated views and tight coupling to support meta searching
Soumis par admin le jeu, 05/08/2008 - 15:39.
Publication Type:
Conference PaperSource:
Coordinated and Multiple Views in Exploratory Visualization, 2004. Proceedings. Second International Conference on, p.39-48 (2004)Keywords:
aggregation hierarchy; complex Boolean constraints; coordinated views; data visualisation; filtering controls; filtering tools; information filtering; information filters; MetaCrystal; search enginesAbstract:
This paper addresses how information visualization can support users in the meta search process and some of the design issues that arise. It describes MetaCrystal and its linked tools that enable users to control how to combine and filter the search results by different search engines. A hierarchy of aggregation is employed to provide users with quick insights into the number of documents found by a specific number or combination of search engines. MetaCrystal enables users to visually perform advanced filtering operations, such as complex Boolean constraints. This paper also discusses how to support tight coupling between the filtering controls and tools that operate at different levels of aggregation.
